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Fintech Data Scientist Jobs in Virginia (NOW HIRING)

Galois, Inc.

Principal Scientist

Arlington, VA

... fintech. Life at Galois: People are the foundation of Galois's success. As an employee-owned ... Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis

Mission Lane

Model Process Manager

Richmond, VA · On-site +1

$81K - $95K/yr

... fintech, or a data-heavy environment * Comfortable working across technical and non-technical teams: equally effective with a data scientist and a compliance officer in the same week * Clear, direct ...

New

SES

Gen AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Experience in the finance or fintech industry. Familiarity with vector databases (e.g., FAISS ... Bachelor s degree in Computer Science, Data Science, Finance, or a related field Jake Lutman ...

SteerBridge

Security Architect

Vienna, VA · Hybrid

$170K - $180K/yr

Masters or PHD in Information Technology, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering. * Experience with FinTech-specific security requirements and ...

SteerBridge

Security Architect

Vienna, VA · Hybrid

$170K - $180K/yr

Masters or PHD in Information Technology, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering. * Experience with FinTech-specific security requirements and ...

SteerBridge

Security Architect

Vienna, VA · On-site

$170K - $180K/yr

Masters or PHD in Information Technology, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering. * Experience with FinTech-specific security requirements and ...

AgileEngine

Senior Data Engineer ID75059

Blacksburg, VA · On-site

$90K - $123K/yr

... science/engineering or other technical field, or equivalent experience; - 5+ years of experience ... NICE TO HAVES - Familiarity with the fintech industry, understanding of financial data, regulatory ...

Visa

Director, VCA NA Risk Practice

Ashburn, VA · On-site

Partner closely with data science teams to deploy and interpret predictive models, model forecasts ... and fintech partners. * Reliably manipulate and analyze largescale datasets (Visa and industry ...

AgileEngine

Senior Data Engineer ID75059

Richmond, VA · On-site

$103K - $141K/yr

... science/engineering or other technical field, or equivalent experience; - 5+ years of experience ... NICE TO HAVES - Familiarity with the fintech industry, understanding of financial data, regulatory ...

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All JobsFintech Data Scientist JobsFintech Data Scientist Jobs in Virginia

Fintech Data Scientist information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do fintech data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for fintech data scientist in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What are typical daily tasks and team collaborations for a Fintech Data Scientist?

Fintech Data Scientists typically spend their days analyzing large volumes of financial data, developing predictive models to assess risk or identify trends, and presenting findings to both technical and non-technical stakeholders. You’ll often work closely with software engineers, product managers, and business analysts to design, implement, and optimize data-driven solutions. Collaboration is key, as many projects require input from cross-functional teams, and clear communication ensures your insights drive product and business decisions. Expect a dynamic work environment where priorities can shift quickly, keeping the role both challenging and engaging.

What does a Fintech Data Scientist do?

A Fintech Data Scientist applies data science techniques to financial technology (fintech) challenges, such as fraud detection, credit risk modeling, algorithmic trading, and personalized financial recommendations. They analyze large datasets, develop machine learning models, and collaborate with engineers and business teams to optimize financial products and services. Their role requires expertise in statistics, programming (Python, R, SQL), and industry-specific knowledge to drive data-driven decision-making.

Is fintech a high paying career?

Fintech data scientists typically earn higher salaries compared to many other data science roles due to the industry's fast growth and demand for specialized skills like machine learning and financial modeling. Salaries can vary based on experience, location, and company size, but they generally offer competitive compensation packages. Advanced skills and certifications can further increase earning potential in this field.

Is data science good for fintech?

Data science is highly valuable for fintech, as it enables companies to analyze large financial datasets, develop predictive models, and improve decision-making processes. Fintech data scientists often work with machine learning tools, statistical analysis, and programming languages like Python or R to optimize products such as credit scoring, fraud detection, and personalized financial services.

What are the key skills and qualifications needed to thrive in the Fintech Data Scientist position, and why are they important?

To thrive as a Fintech Data Scientist, you need deep expertise in quantitative analysis, machine learning, and financial data modeling, usually supported by a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of cloud-based analytics platforms are commonly required, while certifications such as CFA or data science credentials can be beneficial. Strong problem-solving skills, communication abilities, and business acumen help differentiate top performers in this position. These skills and qualities are essential to extract valuable insights from complex financial datasets, inform strategic decisions, and drive innovation in the fast-evolving fintech industry.

What are the most commonly searched types of Fintech Data Scientist jobs in Virginia?

The most popular types of Fintech Data Scientist jobs in Virginia are:

What are popular job titles related to Fintech Data Scientist jobs in Virginia?

For Fintech Data Scientist jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Fintech Data Scientist jobs in Virginia look for?

The top searched job categories for Fintech Data Scientist jobs in Virginia are:

What cities in Virginia are hiring for Fintech Data Scientist jobs?

Cities in Virginia with the most Fintech Data Scientist job openings:

Fintech Data Scientist jobs near you
Infographic showing various Fintech Data Scientist job openings in Virginia as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 78% In-person, 9% Hybrid, and 13% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Principal Data Scientist, Operations

Mission Lane

Richmond, VA • On-site, Remote

$185K - $204K/yr

Full-time

Re-posted 26 days ago

Job description

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we're enabling people to unlock real financial progress. Sound like a mission you can get behind?

About the Role

As a Principal Data Scientist, you will innovate and improve the machine learning models we rely on to make billions of dollars of efficient and accurate decisions and to enable financial progress for our customers.

As a Principal Data Scientist, you'll:

Design, develop, and deploy machine learning models to solve practical problems and help our business and customers reach their financial goals. You'll partner with business leaders and technical experts across the company to develop new data sources, improve our modeling methodology, and apply models with sound risk management.

You are a person who:

  • Has created, deployed, and managed supervised learning models in production systems for vital applications and enjoys being a technical mentor
  • Has a PhD in a quantitative field and 3+ years of experience in a related role
  • Has a BS / MS in a quantitative field and 7+ years of experience in a related role
  • You share best practices for software engineering and can help smart, experienced data scientists with complex technical problems - especially operationalizing and evaluating models for real-world applications
  • Considers themself a generalist data scientist more motivated by practical solutions than theoretical elegance
  • Practices solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
  • Is interested in a wide range of ML solutions, including established tools (e.g. Spark, Kubernetes, Airflow, MLFlow), emerging tools (like Chalk, BentoML, or DVC), and developing in-house tools

You get bonus points for:

  • Experience building predictive models end to end
  • Experience solving problems in consumer lending or fintech
  • Interest in developing ways to train, interpret, and deploy neural network architectures for time series classification tasks

We're offering:

We're committed to ensuring our team members have balance in their lives. Our comprehensive benefits package provides the support you need to thrive at work and at home.

  • Work: An engaging culture with access to training programs and advancement opportunities
  • Life: Full health, dental, and vision benefits, Flexible Spending Account (for medical and childcare expenses), paid parental leave, and a 401k Company Match
  • Balance: Generous PTO, flexible schedules, a Calm App subscription, and more

Compensation:
Annual full-time starting base salary range: $185,000 - $204,000

This role is eligible for additional compensation in the forms of participation in our annual incentive and equity programs.

Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role. Mission Lane also offers a comprehensive benefits plan, which includes paid time off, 401(k) match, a monthly wellness stipend, health/dental/vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-first work environment.

About Mission Lane:

Founded in December 2018, Mission Lane is a purpose-driven fintech company based in the U.S., with headquarters in Richmond, Virginia.

It all started with a realization: nearly fifty percent of the adult population in the U.S. doesn't have access to a clear line of credit. Most traditional credit card companies either overlook or overcharge this group because they have less-than-perfect credit scores or no scores at all. We decided this just wouldn't do.

In partnership with our sponsor banks, we offer credit cards under the Mission Lane brand name, with better, clearer terms, and a more refined customer experience than the alternatives available to people working hard to improve their credit. To date, over four million consumers have chosen Mission Lane, earning high customer ratings on Credit Karma for its market segment and industry leading Net Promoter scores.

Mission Lane has cumulatively raised over $600 million of equity from leading investors, including Invus Opportunities, QED Investors, LL Funds, funds affiliated with Oaktree Capital Management, and other leading investors.

Our commitment to a workplace built on respect and dignity is guided by our core value of Unity. We believe that everyone plays a vital role in our shared purpose, and we actively cultivate an environment where all individuals have the opportunity to do their best work. By fostering a culture of empathy and collaboration, we create a strong sense of belonging and support for every team member.

Mission Lane is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other protected status.

Mission Lane provides reasonable accommodations to applicants who need them for medical or religious reasons, as required by law. Applicants can initiate an accommodation request by contacting peopleexperience@missionlane.com.

Mission Lane is not sponsoring new applicant employment authorization and please, no third-party recruiters.

Application Integrity:

Our cardholders trust us with their financial well-being, and this trust starts with the integrity of the people on our team. We're looking for team members who share our dedication to transparency and truth. Please verify that the information in your application is accurate and complete.

Providing any information to Mission Lane that is not completely truthful at any point during the application or hiring process may result in removal from the hiring process, disqualification from future opportunities, withdrawal of an offer or other sanctions for candidates and, in addition for employees, disciplinary action, up to and including termination of employment.