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Fintech Data Science Jobs in Philadelphia, PA (NOW HIRING)

CardWorks

Director, Data Science

Wilmington, DE · On-site

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... Experience within Financial Services, Consumer Lending, Credit Cards, Banking, Payments, or FinTech ...

Best Egg

Product Data Scientist

Wilmington, DE · On-site

$85K - $100K/yr

As a Barclays company, we combine the agility and customer focus of a fintech with the global reach ... Bachelor's degree in Statistics, Mathematics, Operational Research, Computer Science/Engineering ...

Best Egg

Product Data Scientist

Wilmington, DE · On-site

$85K - $100K/yr

As a Barclays company, we combine the agility and customer focus of a fintech with the global reach ... Bachelor's degree in Statistics, Mathematics, Operational Research, Computer Science/Engineering ...

Best Egg

Product Data Scientist

Wilmington, DE · On-site

As a Barclays company, we combine the agility and customer focus of a fintech with the global reach ... Bachelor's degree in Statistics, Mathematics, Operational Research, Computer Science/Engineering ...

OneMain Financial

VP/MD Analytics

Wilmington, DE · On-site

The VP/MD of Data Science will focus on building the foundational data science capabilities to ... of FinTech and Banking. This individual will be charged with both building the future while ...

OneMain Financial

VP/MD Analytics

Wilmington, DE · On-site

The VP/MD of Data Science will focus on building the foundational data science capabilities to ... of FinTech and Banking. This individual will be charged with both building the future while ...

BE Group

Senior Machine Learning Engineer

Malvern, PA · On-site

$120K - $158K/yr

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a ... Financial services, banking, lending, collections, credit risk, or fintech. * Building scalable ...

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All JobsFintech Data Science JobsFintech Data Science Jobs in Philadelphia, PA

Fintech Data Science information

See Philadelphia, PA salary details

$37.8K

$123.9K

$198.3K

How much do fintech data science jobs pay per year?

As of Sep 1, 2026, the average yearly pay for fintech data science in Philadelphia, PA is $123,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,200.00 per year, depending on experience, location, and employer.

What is a fintech data scientist?

A Fintech Data Scientist is a professional who uses data analysis, machine learning, and statistical techniques to solve problems and create value within the financial technology (fintech) industry. They work with large amounts of financial data to develop predictive models, detect fraud, assess risk, and optimize financial products or services. Their expertise combines knowledge of finance, programming, and advanced analytics to help fintech companies make data-driven decisions and innovate in areas such as payments, lending, and investment. Fintech Data Scientists often collaborate with engineers, product managers, and business stakeholders to deliver actionable insights that drive business growth.

What are the key skills and qualifications needed to thrive as a fintech data scientist?

To thrive as a Fintech Data Scientist, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, cloud computing platforms, and experience with financial data modeling or relevant certifications are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills that set top professionals apart. These skills and qualities are vital for extracting actionable insights from complex financial data, driving innovation, and ensuring regulatory compliance in the fast-evolving fintech industry.

How do fintech data scientists typically collaborate with product and engineering teams to develop new financial products?

In fintech, data scientists often work closely with product managers and engineering teams throughout the lifecycle of a financial product. They analyze user data and market trends to provide actionable insights during the product design phase, and collaborate with engineers to implement machine learning models into the product infrastructure. Regular cross-functional meetings and agile workflows are common, allowing data scientists to iterate on models based on feedback and evolving requirements. This collaborative environment ensures that data-driven solutions are robust, scalable, and aligned with business goals.

What is the difference between Fintech Data Science vs Fintech Data Analyst?

AspectFintech Data ScienceFintech Data Analyst
Required SkillsAdvanced statistical, programming, and machine learning skillsData interpretation, reporting, and basic analytics
CertificationsData Science certifications, programming coursesData analysis or business intelligence certifications
Work EnvironmentDeveloping models, algorithms, and predictive analyticsData reporting, dashboards, and data cleaning
Industry UsageCreating predictive models for risk, fraud detection, and customer insightsGenerating reports, supporting decision-making with data

Fintech Data Science involves building complex models and applying machine learning techniques, requiring advanced skills and certifications. Fintech Data Analysts focus on interpreting data, creating reports, and supporting business decisions with less technical complexity. Both roles are essential in the fintech industry but differ in technical depth and responsibilities.

Is data science good for fintech?

Data science is highly valuable in fintech, as it enables the development of algorithms for risk assessment, fraud detection, and personalized financial services. Fintech companies often rely on data analysis, machine learning, and statistical modeling to improve decision-making and customer experience. Skills in programming, data manipulation, and financial knowledge are essential for data scientists in this field.

Is fintech data science a high paying career?

Fintech data science is generally a high-paying career due to the demand for advanced analytics and machine learning skills in financial technology companies. Salaries often depend on experience, education, and technical expertise in tools like Python, R, and SQL, with senior roles earning significantly more. The field offers competitive compensation compared to many other data science roles across industries.

What are popular job titles related to Fintech Data Science jobs in Philadelphia, PA?

For Fintech Data Science jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Fintech Data Science jobs in Philadelphia, PA look for?

The top searched job categories for Fintech Data Science jobs in Philadelphia, PA are:

Fintech Data Science jobs near you
Infographic showing various Fintech Data Science job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,854 per year, or $59.5 per hour.

Lead Data Scientist - Investment Management Fintech Strategies (IMFS)

Malvern, PA • On-site

Vangard, Inc.
Convention and Trade Show Organizers • 11 - 50 employees
Learn more about Vangard, Inc.external

Full-time

Re-posted 24 days ago

Job description

Lead Data Scientist - Investment Management Fintech Strategies (IMFS)

Investment Management Fintech Strategies (IMFS) is a global team headquartered in Malvern, Pennsylvania. We partner with investment teams to explore and apply new technologies that can improve investment performance, strengthen decision-making, and help capital markets work better for Vanguard's investors. Our work spans advanced analytics and AI/ML, new data sources, market structure and liquidity research, and building scalable platforms and tools that move from experimentation into production.

Responsibilities:

  • Own end-to-end research using large-scale historical data: form hypotheses, run analyses, develop models, and translate results into insights that can improve portfolio construction and trading decisions.
  • Identify and solve market-impact problems across microstructure, fund flows, and liquidity dynamics-surfacing risks and opportunities tied to execution quality and market impact.
  • Design and lead the evolution of core research tooling, including the back-testing framework and signal libraries, to enable repeatable, high-quality experimentation.
  • Apply AI/ML thoughtfully in financial markets, staying current on emerging techniques and evaluating what is practical, robust, and scalable in real-world market environments.
  • Raise the bar on engineering quality by mentoring quant strategists and data scientists on production-grade code, data pipelines, and research-to-production best practices.
  • Partner with technology to integrate models into production systems, monitor live performance, and iterate based on market feedback and measured outcomes.
  • Represent Vanguard externally by contributing to industry discussions and thought leadership in areas relevant to AI/ML, systematic research, trading, and market structure.

Qualifications:

  • 5+ years leading or driving advanced data science work, including back-testing, simulation, and statistical modeling in complex problem spaces.
  • Master's or PhD in machine learning, data science, financial engineering, computer science, or related quantitative discipline.
  • Strong end-to-end data science capability: problem framing research design modeling validation deployment partnership.
  • Proficiency in Python and common ML libraries; experience collaborating with data engineering and bringing models into production.
  • Demonstrated ability to apply AI/ML to solve complex technical problems through collaboration, creativity, and disciplined research.
  • Comfortable partnering with senior leaders-communicating tradeoffs, impact, and value in a clear, decision-oriented way.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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