Principal Data Scientist
Data Science Internship Job 27 miles from Old Bridge
At Quantile Health, our mission is to increase access to transformative medicines. As a Principal Data Scientist, you will play a critical role in shaping our data science strategy, developing advanced analytical models, and driving data-driven decision making across the company. You will work closely with engineering, product, and business teams to design scalable data infrastructure, evaluate foundational models (including LLMs), and translate complex data insights into actionable business strategies.
You will be both a hands-on contributor and a strategic leader, responsible for building and deploying high-impact models that solve key business challenges. As the company scales, you will take on leadership responsibilities, including mentoring and growing the data science team.
Key Responsibilities
Develop, implement, and deploy statistical and machine learning models to solve complex business problems
Define and execute the data science roadmap, aligning with business goals and long-term strategy
Collaborate with engineering teams to design scalable data infrastructure and optimize data pipelines
Evaluate and select foundational models, including large language models, for various business applications
Ensure data integrity, accuracy, and quality to drive reliable insights and decision-making
Communicate complex findings to technical and non-technical stakeholders, including clients and executive leadership
Stay ahead of industry trends, emerging technologies, and best practices in data science
Hire, mentor, and develop junior data scientists, fostering a high-performance and collaborative team culture
Qualifications
PhD or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field
8+ years of experience in data science, with a proven track record of delivering impactful solutions
Expertise in statistical modeling, machine learning, and prompt engineering
Proficiency in Python and experience working with large-scale datasets
Strong understanding of data engineering principles and scalable data infrastructure
Excellent problem-solving skills with the ability to translate complex insights into actionable business strategies
Strong communication and leadership skills, with experience presenting to executive audiences
Data Analyst
Data Science Internship Job 26 miles from Old Bridge
Must-Have
• Proficient SQL skills with the ability to write and optimize queries.
• Capital markets experience, specifically in equity derivatives (EQD) and equity securities (EQS).
• Strong finance and accounting knowledge, including GL and SGL processes.
• Expertise in data analysis and ability to interpret financial datasets.
• Experience in business analysis, requirement gathering, and process optimization.
• Excellent communication and stakeholder management skills.
Proficiency in Excel, BI tools, or other data visualization platforms is a plus.
Good-to-Have
• Good to have BI tools, or other data visualization platforms is a plus.
• Good to have knowledge in Big data Concepts.
• Good to have knowledge in Java/Python/Spark.
Key Expectations from the Role
SQL & Data Analysis:
· Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.
· Perform data validation, cleansing, and reconciliation to ensure accuracy.
· Generate reports and dashboards for business insights.
Capital Markets & Financial Knowledge:
· Apply knowledge of equity derivatives (EQD) and equity securities (EQS) to analyze trading and market data.
· Work with stakeholders to understand financial products, risk exposure, and trade lifecycle processes.
· Collaborate with teams to optimize trade data and reporting systems.
· Finance & Accounting:
· Understand general ledger (GL) and sub-ledger (SGL) accounting processes.
· Reconcile financial data and support accounting teams in maintaining data integrity.
· Assist in financial reporting, audits, and regulatory compliance.
Business Analysis:
· Gather and document business requirements for data-driven initiatives.
· Work with cross-functional teams to improve data workflows and reporting frameworks.
· Support business stakeholders in decision-making through data insights.
· Identify inefficiencies and propose solutions to enhance operational effectiveness.
Data Analyst
Data Science Internship Job 25 miles from Old Bridge
Our client is seeking an Account Coordinator to manage data clean-up, reporting, and analytics using Salesforce, Tableau, and Excel. The ideal candidate will have strong experience with pivot tables, data analytics, and data clean-up to support business processes and enhance data integrity.
Key Responsibilities:
Perform daily data updates and clean-up across Salesforce to support business needs (e.g., territory reassignments, product and contact edits, fundraises).
Utilize Excel (pivot tables, formulas, and analytics) to perform data analysis, troubleshoot discrepancies, and support reporting requirements.
Create and maintain dashboards and reports in Tableau to provide actionable insights for key stakeholders.
Manage user onboarding/offboarding in Salesforce, including license management, security reviews, and profile updates.
Troubleshoot Salesforce-related issues; collaborate with technology and user teams to resolve problems efficiently.
Support daily operations of InvestorFlow, including document uploads, data validation, and correspondence.
Integrate third-party data sources into Salesforce and InvestorFlow platforms to improve data accuracy and reporting capabilities.
Oversee lifecycle management for diligence and investor reporting rooms.
Manage investor communications, ensuring data accuracy across platforms and resolving issues related to undeliverable emails.
Data & Analytics:
Deliver scalable reporting and analytics using Salesforce, Tableau, and Excel to drive data-driven decision-making.
Conduct audits and proactively identify and resolve data inconsistencies.
Collaborate with cross-functional teams to ensure data integrity across platforms.
What You Will Bring:
2-8 years of experience in a data-focused or coordinator role.
Strong proficiency in Salesforce, Tableau, and Excel (with emphasis on pivot tables, data analytics, and data clean-up).
Experience with tools such as InvestorFlow, Anduin, and Marketing Cloud is a plus.
Excellent organization, communication, and time management skills with the ability to handle multiple priorities.
Positive attitude with strong accountability and adaptability.
Preferred Qualifications:
Experience in the investment management industry.
Proven ability to work both independently and collaboratively in a fast-paced environment.
Strong problem-solving, project management, and interpersonal skills.
Data Scientist
Data Science Internship Job 27 miles from Old Bridge
We are building a world class systematic data platform which will power the next generation of our systematic portfolio engines.
The systematic data group is looking for a Data Scientist to join our growing team. The team consists of content specialists, data scientists, analysts and engineers who are responsible for discovering, maintaining and analyzing sources of alpha for our portfolio managers.
This is an opportunity for individuals who are passionate about quantitative investing. The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets.
Principal Responsibilities
Research potential alpha sources, and present to portfolio managers and quantitative analysts
Utilize and maintain world-class data processing and transformation engines
Build technology tools to acquire and tag datasets
Engage with vendors, brokers to understand characteristics of datasets
Interact with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximize their profitability
Analyze datasets to generate key descriptive statistics
Qualifications/Skills Required
Ph.D. or Masters in computer science, mathematics, statistics or other field requiring quantitative analysis
3 + years of financial industry experience preferred
Programming expertise in Python, C++, Java or C#
Programming skills in SQL, PL-SQL or T-SQL
Strong problem-solving skills
Strong communication skills
Data Analyst
Data Science Internship Job 26 miles from Old Bridge
The pay for this role will likely be $25-30/hr. This is an ongoing contract role.
A client of ours is seeking a skilled Data Analyst to manage long-term clients' data systems and reporting frameworks, ensuring data integrity and accuracy. This role also involves consulting for organizations requiring episodic CRM support, including data conversions, reporting, and process documentation. The ideal candidate will transform raw data into actionable insights that drive fundraising and community development efforts. The role covers the full data analysis lifecycle, from requirement gathering to execution and design planning.
Key Responsibilities
Clean, prepare, and maintain data.
Perform data exploration and analysis.
Develop reports and data visualizations.
Collaborate with colleagues and clients to understand data needs and provide actionable insights.
Additional duties as assigned.
Experience & Qualifications
Minimum of 5 years of work experience, including 2-3 years of hands-on CRM experience with Blackbaud CRM, Raiser's Edge, Virtuous / or similar platforms.
Bachelor's degree required.
Background in data entry, finance, operations, or nonprofit fundraising preferred.
Familiarity with Salesforce and/or Great Plains software or any other CRM is a plus.
Skills & Competencies
Proficiency in Microsoft Office Suite and the ability to learn new software tools.
Strong statistical foundation with experience using Excel, SPSS, SAS, SQL, Python, or R.
Excellent analytical skills to compile, structure, and present large datasets with accuracy.
Ability to evaluate data critically and derive meaningful insights.
Strong report writing and presentation abilities.
Excellent organizational and multitasking skills.
Effective communication and collaboration skills across teams.
Understanding of data privacy regulations and best practices in donor data management.
Ability to present complex data insights in an accessible manner for non-technical audiences.
Data Quality Analyst
Data Science Internship Job 27 miles from Old Bridge
The Data Quality Analyst (VP level) will play a pivotal role in coordinate the integrity, accuracy, and reliability of data across Natixis CIB Americas businesses and in line with Head Office processes.
This position is responsible for developing, implementing, and overseeing technical data quality frameworks, methodologies, and tools to enhance our data assets, re-using Head Office solution where possible. The Data Quality Analyst will collaborate with the businesses to assist on identifying data quality issues, design solutions, and promote best practices in data management.
He/she/they will have the following responsibilities:
Framework Development: Design and implement a comprehensive technical data quality framework that includes data profiling, data validation, data cleansing, and monitoring processes, capitalizing first on head office approach.
Data Quality Tools: Evaluate, select, and manage data quality tools and technologies that facilitate automated data quality assessments and remediation processes.
Issue Resolution: Collaborate with data engineers and analysts to identify data quality issues, analyze root causes, and develop actionable remediation plans.
Data Quality Metrics: Establish and monitor key performance indicators (KPIs) and metrics to assess data quality, providing regular reporting to stakeholders on data quality status and improvement efforts.
Collaboration: Work closely with cross-functional teams, in the Americas platform and Head Office, including data governance, data architecture, and business intelligence, to ensure alignment on data quality initiatives and standards.
Technical Documentation: Assist the business to create and maintain detailed documentation of data quality processes, data lineage, and metadata to support transparency and compliance.
Training and Support: Provide training and guidance to technical staff on data quality best practices, tools, and methodologies, fostering a culture of data stewardship within the organization.
Continuous Improvement: Stay up-to-date with industry trends, emerging technologies, and best practices in data quality management, continuously enhancing the organization's data quality capabilities.
Requirements:
Bachelor's degree in computer science, Information Technology, Data Management, or a related field;
5+ years of experience in data quality management, data engineering, or a related technical field, preferably within the financial services industry.
Experience using the IDQ (Informatica Data Quality) suite and Informatica Power Center for development and reporting; Experience on alternative solution is welcomed and should be demonstrated.
Deep knowledge of data quality processes, approaches, measurement techniques, and business cases including Profiling, cleansing, standardization and Match/Merge;
Demonstrated experience implementing Informatica's Data Quality components (rules, glossaries, scorecards);
Natixis is an equal opportunity employer, committed to a workplace free of discrimination. Natixis will not tolerate any form of discrimination based on age, color, mental or physical handicap or disability, pregnancy, marital status, sexual orientation, national origin, alienage, ancestry or citizenship status, race, religion, sex (including sex stereotyping, gender identity, gender expression or transgender status), veteran status, creed, genetic information or carrier status, or any other protected characteristic as established by law.
Respect for all means that we deal with each person as an individual and not as a member of any group. All qualified applicants will receive consideration for employment. Management is expected to provide leadership in supporting the firms EEO program by taking steps to promote EEO in all facets of employment including recruitment, hiring, retention, promotion, performance assessment, and career-development opportunities.
The salary range for this position will be between $140,000 - $175,000. Natixis is required by law to include a reasonable estimate of the compensation range for this role. Actual base salary will vary and will be based on several factors including, but not limited to, relevant experience, education, skills set, applicable licensure and certifications, and other business and organizational needs. Base salary is only one component of our total rewards package. Natixis also offers a generous benefits package, and you may be eligible for a discretionary incentive award depending on company and individual performance.
Banking Domain Data Quality Analyst/Lead - LoanIQ EDMO
Data Science Internship Job 27 miles from Old Bridge
MUST be local to New York City. Hybrid Schedule at least 3 days onsite
Salary Range: $105k to $150k
No Sponsorship
The Enterprise Data Management Office oversees critical bank data for reporting, management, and customer impact, ensuring consistent data quality. The role involves managing data within federated domains to ensure accountability, streamline operations, and maintain data integrity across the organization.
Role Summary
As the LoanIQ Data Quality Analyst, you will lead data quality efforts during the transition to the LoanIQ platform, ensuring alignment with enterprise data management standards. This role requires analytical expertise, problem-solving skills, and proficiency in SQL, along with the ability to communicate data insights effectively.
Key Responsibilities
Collaborate with business users to understand needs, document requirements, and propose solutions.
Manage and prioritize data requirements, ensuring quality control and compliance with standards.
Coordinate with stakeholders to track issues and ensure successful project delivery.
Oversee the transition from project mode to operational stability, acting as a LoanIQ Data Subject Matter Expert.
Provide training and guidance on data quality, analytics, and controls.
Skills and Qualifications
Required Skills:
Experience in Sell Side banking systems implementation or migration.
Proficiency in SQL, data mining, and schema mapping.
Knowledge of data models, MS Office tools, JIRA, and Agile methodology.
Strong communication and multitasking abilities.
Education:
Bachelor's degree in Data Science, Statistics, Risk Management, or related fields.
Experience:
7+ years in relevant roles.
Familiarity with regulatory change management and data governance frameworks.
Preferred experience with LoanIQ, Python, Power BI, and financial industry practices.
This role is critical in ensuring robust data governance and operational excellence within the banking domain.
Functional Data Analyst
Data Science Internship Job 26 miles from Old Bridge
Immediate need for a talented Functional Data Analyst. This is a 12+months contract opportunity with long-term potential and is located in Jersey City, NJ/ Plano, TX(Onsite). Please review the job description below and contact me ASAP if you are interested.
Job ID:25-61124
Pay Range: $65 - $68/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
A mindset built on simplicity reuse.
Proficiency to work with Senior Business stakeholders and translate business needs into technical requirements.
Leadership skills to manage ad-hoc analysis or design deep dives.
Understanding of the development lifecycle to ensure the designs are practical adopted by the delivery teams.
Creating and maintaining business requirements (functional technical) in partnership and collaboration with the business and obtaining sign-off .
Responsible for creating functional solutions, conducting FSD walk-through and obtaining sign-off .
Act as an SME in various capacities and identify product development opportunities.
Responsible for working with the developers to ensure correct understanding of requirements and then owning the functional delivery end to end .
Defining testing requirements together with the QA team.
Building and maintaining strong relationship with business to ensure alignment with business requirements and project management resources.
Establishing and operate within the governance (decision making)structure for the program/project and manage/escalate issues and risks.
Contribute in design and development of the project-level roadmap, ensuring sufficient business benefit is realized within each phase.
Ensure projects are completed according to product specifications and are properly documented.
Work with data sourcing to source and validate data completeness from acquisition to report delivery.
Work with Stakeholders during UAT to ensure reports meet requirements and ensure all deliveries are signed-off.
Key Requirements and Technology Experience:
Key Skills:BA/FA,Oracle/PL SQL , ETL/Informatica , Java .
10+ years' experience with at least 3+ years' experience as a BA/FA .
Delivery focused techno-functional role. Candidates must have experience in Oracle/PL SQL or ETL/Informatica or Java.
Excellent analytical and problem solving skills.
Deep understanding of Capital Markets with focus on Credit Risk, Market Risk or Capital calculations.
Understanding of regulations within the Capital Markets space (Basel, CRR, CRD IV etc).
Attention to detail and self-starter, with an ability to identify risks and issues and suggest improvements.
Excellent communication, negotiation, networking and influencing skills .
Ability to work across multiple business groups and domains.
Ability to work in a fast paced environment and work under pressure.
Collaborative, with an ability to share information, transfer knowledge and train new team members.
Proven ability to balance business demands of different stakeholders and IT fulfilment in terms of standardization, reducing risk and increasing IT flexibility .
Experience building high-performance, enterprise applications at scale.
Our client is a leading Banking and Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Lead Data Scientist
Data Science Internship Job 27 miles from Old Bridge
About the Job:
As a Lead Data Scientist, you will transform complex data into actionable insights using advanced quantitative methods. You will analyze and interpret large datasets to inform business decisions, and craft compelling presentations to drive business strategy and optimize customer engagement.
A Day in the Life:
Provide actionable insights to stakeholders through data analysis, research, and modeling.
Integrate and manage internal and external data sources, including structured and unstructured data.
Develop and apply advanced quantitative methods, including statistical models and machine learning techniques.
Analyze customer behavior and market trends to inform business strategies and optimize ROI.
Prepare and deliver clear, insightful presentations to various audiences.
Conduct multi-channel analysis, leveraging online and offline data to drive business decisions.
Mentor and manage junior data scientists, guiding workflow and development.
What You Will Need:
Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or other natural sciences (Master's degree preferred).
5+ years of experience in open-source programming, applied statistics, and machine learning.
Proven expertise in relational database management, data wrangling, and statistical analysis.
Excellent communication and presentation skills, with experience presenting to upper management.
Strong project and team management skills, with ability to manage workflow of 1-3 data scientists or analysts.
Experience integrating data scientific modeling into data visualization platforms (e.g., Tableau, PowerBI).
Ability to handle multiple projects, prioritize tasks, and adapt to changing requirements in a fast-paced environment.
Our Global Benefits:
My Time Off (MTO) - our flexible approach to time off that allows you to take the time you need and enjoy it!
Career Progression - we offer personalized development opportunities and clear career pathways.
Health and wellbeing programs that provide you access to different services and offerings to prioritize your health.
Company Savings Plans to help you plan for the future.
Parental Leave benefits for all new parents.
Salary
$110,000 - $145,000 annually.
The salary range for this position is noted within this job posting. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position; market considerations; budgetary considerations; tenure and standing with the company (applicable to current employees); as well as the employee's/applicant's background, pertinent experience, and qualifications.
About 90North
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At 90NORTH, a software intelligence company, we harness proprietary software products to uncover unexpected insights and solve complex business problems. Our diverse team of solution architects, comprising social scientists, medical experts, business strategists, and creative technical designers, collaborate to help clients navigate the challenges of exploding data and AI paradigm shifts. We empower informed decision-making and drive impact through our innovative software products, including Intention Decoder and Hate Audit, which reveal the underlying motivations and sentiments behind human behavior.
For U.S. Job Seekers
It is the policy of IPG Health and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.
GL & Subledger Data Analyst
Data Science Internship Job 26 miles from Old Bridge
Overall experience of 12 to 15 years
Hands-on experience in PL/SQL
Should have extensive experience in Ledger & Sub-ledger
Excellent data analytical skills
Knowledge in Snowflake preferred
Should have experience in handling end-users and senior business members
Looking for 15+ yrs of exp and excellent communication skills.
Also pls look for profiles preferred in Snowflake, Oracle PLSQL.
Data Scientist, United States - BCG X
Data Science Internship Job 27 miles from Old Bridge
Locations: Boston | Chicago | Pittsburgh | Washington | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach
Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
We Are BCG X
We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
What You'll Do
Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative.
What You'll Bring
We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following:
Comfortable in a client-facing role with the ambition to lead teams
Likes to distill complex results or processes into simple, clear visualizations
Explain sophisticated data science concepts in an understandable manner
Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
Have strong project management skills
TECHNOLOGIES:Programming Languages: Python style="visibility: hidden;">#LI-DNI#BCGXjob
Additional info
FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is:Data Scientist I: $110,000 USD Data Scientist II: $145,000 USDData Scientist III: $160,000 USD Senior Data Scientist: $190,000 USD BCG offers a comprehensive benefits program, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, mental health offerings, a generous retirement program, financial guidance, paid time off, and more.
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
BCG is an E - Verify Employer. Click here for more information on E-Verify.
Risk & Data Analyst (Multi Strategy Hedge Fund)
Data Science Internship Job 27 miles from Old Bridge
The Performance and Risk Analyst will play a critical role in monitoring, analyzing, and reporting on the performance and risk metrics of [Firm Name]'s diverse investment strategies. This role requires a blend of quantitative expertise, technical skills, and a strong understanding of financial markets. The ideal candidate will have 1-2 years of experience in performance and risk analysis, coupled with strong Python and SQL programming skills.
Key Responsibilities
Measure and evaluate the performance of various investment strategies, identifying key drivers and trends.
Develop and maintain risk metrics and dashboards to provide insights into portfolio exposures, VaR, stress tests, and other risk factors.
Extract, clean, and manipulate large datasets from multiple sources to support performance and risk analysis.
Prepare detailed performance and risk reports for internal stakeholders, including portfolio managers, risk committees, and senior leadership.
Develop tools and scripts in Python and SQL to automate data processing, analysis, and reporting workflows.
Conduct ad hoc analyses to support decision-making, including scenario analysis, portfolio optimization, and risk attribution.
Work closely with portfolio managers, data scientists, and risk teams to align on methodologies and enhance analytical frameworks.
Key Qualifications
1-2 years of experience in performance analysis, risk management, or a related field within an asset management, hedge fund, or financial services environment.
Proficiency in Python and SQL is essential. Experience with data visualization tools (e.g., Tableau, Power BI) and statistical packages is a plus.
Bachelor's degree in Finance, Economics, Computer Science, Mathematics, or a related field. Advanced degrees or certifications (e.g., CFA, FRM) are advantageous.
Strong analytical and quantitative abilities, with experience in statistical modeling, portfolio analysis, and risk metrics.
Excellent written and verbal communication skills, with the ability to present complex analyses clearly to non-technical stakeholders.
High level of accuracy and attention to detail in handling data and reporting.
A proactive approach to identifying and solving problems, with the ability to work independently and manage multiple priorities.
Solid understanding of financial markets, investment strategies, and risk management concepts.
Principal Data Scientist, Commercial Banking Data Science
Data Science Internship Job 27 miles from Old Bridge
130 5th Ave (22130), United States of America, New York, New YorkPrincipal Data Scientist, Commercial Banking Data Science
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
Capital One's Commercial Data Science team works to improve the way commercial banking is done through the use of innovative data and model-driven solutions. The lines of business we support include commercial real estate, middle market banking, credit lending, treasury management, and commercial tools and platforms within the corporate and commercial real estate sectors.
Greenfield data science projects abound within Commercial Banking. Typical use cases that the team executes on include real-time credit assessment of corporate and CRE through internal and third-party datasets, localized health of geographies for credit lending, macroeconomic predictions and insight generation, deposit balance and attrition forecasting, optimal pricing strategies, and portfolio credit risk assessment.
Role Description
In this role, you will:
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies - Python, AWS, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Mine for real time insights hidden in large internal and external datasets that have time and geospatial components to help Capital One and our customers make crucial business decisions.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. Big data doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor's Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date
At least 1 year of experience in open source programming languages for large scale data analysis
At least 1 year of experience with machine learning
At least 1 year of experience with relational databases
Preferred Qualifications:
Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
At least 1 year of experience working with AWS
At least 3 years' experience in Python, PyTorch, Scala, or R
At least 3 years' experience with machine learning
At least 3 years' experience with SQL
At least 3 years' experience working with natural language processing
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $173,000 - $197,400 for Principal Associate, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead Data Scientist - GenAI/ML/DL/LLM, Spark/PySpark/ TensorFlow
Data Science Internship Job 26 miles from Old Bridge
Job Title: Lead Data Scientist - GenAI/ML/DL/LLM, Spark/PySpark/ TensorFlow
Duration: 12 Months
Hybrid role - 3 Days Onsite and 2 days Remote
Please note:
The Hiring Event will take place for this role on March 13th and 14th, 2025. Candidates who are interested and available to attend this Hiring Event only need to apply for this role.
Must be available to attend In-Person Interviews on March 13th and 14th, 2025
Job Description:
This a development position for establishing and implementing new or revised applications and programs in the Technology team.
As part of this role, you will be responsible for data extraction and data analysis from structured and unstructured sources.
You will develop systems to clean results to build predictive and prescriptive models and implement them in a production environment by partnering with technology and business partners.
You will have to address complex problems involving financial data with specific focus on credit risk management.
You will have to have open and adaptive mindset to learn new and advanced models in LLM and GenAI and bring in innovative solutions to complex business problems.
Responsibilities:
Develop plans and coordinate with teams for all analytical efforts.
Manage deliverables in a agile environment and maintain clear communication with all model stakeholders.
Present status, issues, and analytical findings to various audience groups like business, technology management, risk review, model governance, etc.
Data modelling and cleaning from internal and external sources.
Build predictive and prescriptive models by manipulating and cleaning results.
Develop, manage, and deploy analytical solutions using Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to production systems using technology SDLC process.
Implement features through the ML lifecycle (Development, Testing, Training, Production, Monitoring/Evaluation) to ensure scalability and reliability.
Qualifications:
PhD or master's degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.
5+ years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems.
5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration.
Strong background of ML/DL/LLM algorithms, model architectures, and training techniques.
Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages.
Proficiency with tools and LLMs.
Education:
Bachelor's degree/University degree or equivalent experience in STEM
Electronic Data Interchange Coordinator
Data Science Internship Job 29 miles from Old Bridge
We are seeking a highly skilled and detail-oriented Electronic Data Interchange (EDI) Coordinator to join our dynamic team. As an EDI Coordinator, you will play a crucial role in ensuring seamless electronic communication between our company and its trading partners. The ideal candidate will have a strong background in implementing and managing EDI solutions, specifically using Trusted Link, to enhance efficiency and accuracy in data exchange.
Responsibilities:
Implementation and Maintenance:
Lead the implementation of Trusted Link and IBM Sterling File Gateway (SFG) for EDI, ensuring successful integration with internal systems and external partners.
Continuously monitor and maintain the EDI system to guarantee optimal performance and data accuracy.
Coordination with Trading Partners:
Collaborate with internal stakeholders and external trading partners to establish and maintain EDI connections.
Act as the primary point of contact for EDI-related inquiries and issue resolution.
Documentation and Training:
Develop comprehensive documentation for EDI processes and procedures.
Conduct training sessions for internal teams on EDI best practices and troubleshooting.
Compliance and Standards:
Stay current with EDI industry standards and ensure the company's EDI processes comply with relevant regulations.
Monitor and implement updates to Trusted Link and IBM Sterling File Gateway (SFG) software as needed to align with industry standards.
Problem Resolution:
Investigate and resolve EDI-related issues promptly to minimize disruptions in business operations.
Implement proactive measures to identify potential issues and address them before they impact data exchange.
Job Requirements
Qualifications:
Proven experience as an EDI Coordinator, with experience in Trusted Link and IBM Sterling File Gateway (SFG) a plus.
In-depth knowledge of EDI standards, protocols, and file formats.
Strong problem-solving and analytical skills.
Excellent communication and interpersonal skills.
Ability to work collaboratively in a cross-functional team environment.
Familiarity with manufacturing processes and supply chain operations is a plus.
Sales And Marketing Intern
Data Science Internship Job 14 miles from Old Bridge
We are seeking a highly motivated and detail-oriented Sales/Marketing Intern to join our team. For this unpaid internship, you'll contribute to understanding sales and marketing in the IT industry and related businesses. This hands-on opportunity allows you to collaborate with experienced professionals and support our organization's strategies. New grads are welcome, no prior experience required.
BeaconFire is an E-verified company, we provide visa sponsorships for candidates with supreme performance.
Responsibilities:
Maintain accurate records of business activities and report findings to the team.
Conduct market and industry research to support decision-making.
Collaborate with the team for a unified client approach, assist with scheduling and record-keeping tasks.
Prepare reports and presentations for management reviews.
Requirements:
Enrolled in or finished undergraduate or graduate degree programs.
Excellent English verbal and written communication skills.
Strong analytical and critical thinking abilities, able to interpret data and draw findings.
Proficiency with MS Office proficiency(Word, Excel, PowerPoint).
Detail-oriented with strong time management skills to meet deadlines.
Proactive team player with willingness to learn and adapt to new challenges.
Benefits:
Sales and marketing hands-on experiences in the IT industry and related businesses.
Opportunity to collaborate with experienced professionals and support our organization's strategies.
Proper paperwork offered to fulfill course credit.
Employment-related non immigration or immigration sponsorship, including but not limited to OPT, OPT extension, and H1B.
Location: East Windsor, NJ (onsite preferred)
Spatial Biology & Microscopy Research Intern
Data Science Internship Job 27 miles from Old Bridge
Waypoint Bio is a venture-backed biotech startup building the next generation of cell therapies for solid tumors and autoimmune diseases. Joining our team as a 2025 intern means working with a group of innovative and collaborative scientists who share the mission of bringing the promise of immune cell therapy to all cancer patients.
Position Summary:
We are seeking a highly organized and enthusiastic research intern who is motivated to develop scientific knowledge and skills while providing extensive technical support. In this role, you will join our team to contribute to spatial biology and microscopy R&D at our lab at the Alexandria Center for Life Science in New York (430 E 29th St).
In this position, you will have the opportunity to learn and implement wide-ranging techniques in immunology, cell and cancer therapies, and microscopy alongside a team of multi-disciplinary scientists.
Time Commitment:
You may be a good fit for this role if you can commit at least 20 hours/week. Please detail your availability in your cover letter.
Education Requirements:
Recent graduates of BS and/or graduate school programs
Individuals with BS or MS degree in progress (Biology, Molecular Biology, Cell Biology, Immunology, Cancer Biology, or a related field) also encouraged to apply
Key Duties Include:
Prepare samples for microscopy
Test different spatial biology technologies, including immunohistochemistry, immunofluorescence, and FISH based techniques, for detection of different proteins and RNAs through Waypoint's spatial biology platform
Manage general laboratory operations and organization, such as maintaining equipment, reagents, and supplies
Develop and write scientific protocols, analyze data, and communicate experimental results
Keep detailed scientific records in an electronic lab notebook and actively contribute to the organization & general housekeeping of the lab
Provide conceptual input on experimental design and interpretation in a team setting
Skills and Experience:
Expertise in molecular biology and/or cell biology, including hands-on experience performing experiments
Enthusiasm for taking initiative on a range of responsibilities
Ability to learn quickly, prioritize multiple tasks in accordance with changing responsibilities, and work in a fast-paced environment
Strong communication and organizational skills to work collaboratively
Plus: Hands-on experience using fluorescence microscopy for detection of proteins, nucleic acids, or other biological molecules
Plus: Knowledge of immunology and/or cancer biology
About Waypoint Bio:
Traditional cell therapy development faces a trade-off between
in vitro
approaches that are fast but inaccurate, and
in vivo
approaches that are accurate but slow and expensive. Waypoint has built a proprietary spatial biology & machine learning platform that enables pooled cell therapy screens
in vivo
- profiling how hundreds of designs affect a solid tumor in a single mouse, while measuring each design's performance across distinct clinically-relevant parameters. This high-throughput approach compresses years of work into a single experiment by achieving 100x the throughput of conventional animal experiments.
Please upload CV and cover letter to apply.
Research Intern
Data Science Internship Job 27 miles from Old Bridge
Marathon Strategies is an independent communications, public affairs and research firm that is looking for a results-oriented Research Intern to support our growing operation. Marathon's internship program is a full-time position for Summer 2025 aimed at equipping young college professionals with the skills needed to progress their careers. This position is currently hybrid, requiring 1-2 days of attendance in either the New York City or Washington, DC, offices.
(NOTE: Please submit a resume AND cover letter as a single pdf.)
Born from the trenches of some of the most high-profile political races over the last two decades, Marathon applies the strategic and fast-paced execution of campaigns to the challenges of a wide range of brands, issues, companies and candidates. We embed ourselves in our clients' organizations and challenge the status quo, using our experience and intellect to shape opinions and deliver results.
Responsibilities may include, but are not limited to:
Assisting with the research, preparation and drafting of reports on a wide range of issues, including competitive intelligence, background vetting, opposition research and issues analysis
Reviewing news clips and social media
Summarizing interview and debate footage
Compiling voting records, lobbying filings and campaign finance data
Assisting with legal research, including judgments, tax liens, civil litigation and criminal filings
Factchecking
Data entry
Qualifications:
The ideal candidate will have an interest in and basic understanding of current events, public policy, the federal government and the US political system, as well as:
Relevant course of study, such as Communications, Public Relations, Journalism or Political Science
Strong research skills with an eye for detail
Excellent writing and editing skills
Proficiency in Microsoft Office, including basic Word and Excel skills
Flexible and proactive in taking on assignments and responsibilities and willingness to learn
Ability to commit to a full-time, 40-hour work week
Marathon Strategies has been named to Ragan Communication's Top Places to Work Class of 2025 and winner of Ragan's best employee education and training program. The growing firm is also a two-time finalist of PRovoke Media's public affairs agencies of the year and was chosen as a finalist for PR Week's outstanding small agency of the year. Marathon has appeared on the Financial Times' list of America's fastest-growing companies and was recognized by Inc. Magazine as one of the nation's 5,000 fastest-growing companies for the second year in a row.
Salary: $20 an hour/ 40 hours per week
Graduate Research Intern, Biology
Data Science Internship Job 29 miles from Old Bridge
Outlier helps the world's most innovative companies improve their AI models by providing human feedback. Are you an experienced Biology who would like to lend your expertise to train AI models? About the opportunity: Outlier is looking for talented accounting and tax experts to help train generative artificial intelligence models This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you You may contribute your expertise by…Assessing the factuality and relevance of domain-specific text produced by AI models Crafting and answering questions related to BiologyEvaluating and ranking domain-specific responses generated by AI models Examples of desirable expertise:A bachelor's or higher degree in Biology or a related subject Experience working as an Biology professional Ability to write clearly about concepts related to Biology in fluent EnglishPayment:Currently, pay rates for core project work by Biology experts range from $30 to $50 per hour USD.
Rates vary based on expertise, skills assessment, location, project need, and other factors.
For example, higher rates may be offered to PhDs.
For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply.
Certain projects offer incentive payments.
Please review the payment terms for each project.
Sales And Marketing Intern
Data Science Internship Job 27 miles from Old Bridge
About the job
Southwestern Advantage is seeking college students from all majors for a paid summer work/internship position. Optional 3 upper division transferrable college credits are available for Communications and Marketing. This is an outside sales internship where students will learn how to run their own business and be effective in creating relationships with consumers. Students will have the opportunity to travel to another state. You will receive 100 to 300 hours of professional sales, leadership, and marketing coaching. The average student will make $10,000 dollars in the summer but top first-year performers make up to $25,000. The ideal candidate for this position will take over the following responsibilities and have these qualifications.
Responsibilities
• Students will be engaged in consultative sales
• Communicating with anywhere with 2 to 5,000 families with all economic backgrounds
• Create relationships and build rapport with customers
• Direct sales of educational products
• Students will execute all ordering, inventory, sales, accounting, scheduling, and delivery of product
Qualifications
• Must be a college student or college grad
• Positive attitude
• Goal Oriented
• Personal motivation
• Strong work ethic
• Teachable and coachable
• Willingness to learn and develop business skills
• Independent decision maker
Check us out below!
Website: *********************************
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SouthwesternAdvantage/ Reviews: ****************************************
For more info call Erica:
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