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Credit Risk Data Science Jobs in Gainesville, VA

This role requires deep expertise in credit risk frameworks, and data analytics, with a strong ... Partner closely with data science teams to deploy and interpret predictive models, model forecasts ...

As an advisor, you will partner across Audit, Technology, Enterprise AI, data science, and risk organizations to architect reusable products on a unified platform that delivers AI-enabled ...

Credit Administration Manager

Reston, VA · On-site

$165K - $195K/yr

Credit Risk Stress Testing * Bottom-Up Testing, Top-Down Modeling & Risk Identification: Audit CRE loan data, updating NOI and appraisal information; perform sample testing to verify the accuracy of ...

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and ... Hypothesis development and validation of budget and schedule sufficiency/achievability and risk ...

... end-to-end data science and data engineering workflows, from data preparation and feature ... model evaluation, and risk-aware deployment of LLM-based solutions. Company : A spatial ...

... end-to-end data science and data engineering workflows, from data preparation and feature ... model evaluation, and risk-aware deployment of LLM-based solutions. Company : A spatial ...

Minimum 10 years of relevant professional experience * 6?8 years of experience leading and executing data science projects, preferably in areas such as risk modeling, real-time analytics, performance ...

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Showing results 1-20

Credit Risk Data Science information

See Gainesville, VA salary details

$36.5K

$112.4K

$195K

How much do credit risk data science jobs pay per year?

As of Aug 1, 2026, the average yearly pay for credit risk data science in Gainesville, VA is $112,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $138,700.00 per year, depending on experience, location, and employer.

How does a Credit Risk Data Scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is Credit Risk Data Science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.
What job categories do people searching Credit Risk Data Science jobs in Gainesville, VA look for? The top searched job categories for Credit Risk Data Science jobs in Gainesville, VA are:
What cities near Gainesville, VA are hiring for Credit Risk Data Science jobs? Cities near Gainesville, VA with the most Credit Risk Data Science job openings:

Director, VCA NA Risk Practice

Visa

Ashburn, VA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Visa rating

8.6

Company rating: 8.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

5th of 21 rated payment service providers


Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.

Job Description

Visa Consulting & Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk, money movement and digital consulting, with decades of experience in the payments industry. Our VCA teams offers:

  • Consulting services customized to the needs of Visa client's business objectives and strategy
  • Scalable solutions Visa clients can leverage to improve performance in product, marketing and operations
  • Proven data-driven marketing strategies to increase clients' ROI

The Consulting Practice within VCA provides consulting and solution services for Visa's largest issuers in North America. We apply deep expertise in the payments industry to provide solutions to assist clients with their key business priorities, drive growth and improve profitability.

The Risk Practice advises Visa clients and ecosystem partners on core risk management areas for card portfolio management, including originations strategies, underwriting, fraud, authorizations, disputes, credit line management, and collections.

VCA team is looking for an individual to join our Risk Practice and play a role in developing high impact projects for Visa's clients. The potential candidate will be responsible for delivering and implementing projects and solutionsas the leader of our Credit and Identity Risk Practice. This person will design, implement, and optimize strategies across the credit lifecycle to enhance risk management, improve decision-making, and drive business growth. This role requires deep expertise in credit risk frameworks, and data analytics, with a strong focus on innovation and operational efficiency.

Specific responsibilities include

  • Proactively engage Visa senior leaders in regular strategy, planning, and pipeline discussions, cultivating and managing a portfolio of Credit Risk opportunities across North America.
  • Lead endtoend credit risk consulting initiatives, contributing to origination and closing of engagements by identifying and shaping opportunities across all VCA segments, including consumer, commercial, small business, and fintech clients.
  • Deliver and scale automated credit policy and decisioning solutions, including policy frameworks, modeldriven decision logic, model adjustment tools, and governanceready artifacts to support issuer underwriting and portfolio management needs.
  • Partner closely with data science teams to deploy and interpret predictive models, model forecasts, and stress scenarios - translate analytical outputs into clear business decisions and actionable recommendations.
  • Conduct credit maturity assessments across onboarding, underwriting, line management, and collections processes, identifying capability gaps and recommending industry best practices and targetstate operating models.
  • Deliver and scale loss forecasting and mitigation solutions, including expected loss projections, scenario/stress analytics, and strategy recommendations to proactively reduce delinquencies and credit losses across the portfolio
  • Design and implement dashboards, scorecards, and KPIs to monitor credit risk performance, delinquency trends, earlywarning indicators, and overall portfolio health.
  • Develop customer lifetime value (CLV) and portfolio economics models to inform acquisition, underwriting, pricing, and line management strategies, balancing growth, risk, and profitability.
  • Build repeatable frameworks, methodologies, and solution architectures that address complex client challenges across issuers, acquirers, merchants, processors, and fintech partners.
  • Reliably manipulate and analyze largescale datasets (Visa and industry sources) to generate meaningful insights, validate hypotheses, and support datadriven decisionmaking.
  • Collaborate crossfunctionally with Product, Engineering, Risk Governance, Legal, Compliance, and Sales teams to ensure solutions are scalable, regulatorycompliant, and aligned to Visa's risk and data standards.
  • Drive innovative risk strategies by leveraging alternative data, and AI.
  • Incumbents applying for the role should be self-motivated, highly energized detail-oriented individuals who will deliver strategic thought leadership, problem diagnostics and high impact solutions to clients support the growth and performance. Candidates must be able to develop enduring, strategic relationships with internal and external clients and across the Visa organization.

This is a hybrid position.Expectationofdays intheoffice will be confirmed by your Hiring Manager.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications 10 or more years of work experience with a Bachelor's Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhDPreferred Qualifications 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD 10-12 years of experience with a bachelor's degree or 8 years of experience with an Advanced Degree (e.g. Masters, MBA, or PhD) 8-10 years of relevant experience managing credit risk in financial institutions or large management consulting firm Proven experience in credit risk management, consulting frameworks, and credit lifecycle optimization. Strong analytical skills with demonstrated intellectual and analytical complexity Familiarity with regulatory compliance, and risk governance policies. Knowledge and understanding of banking operations and/or payment schemes, including products & services, business systems and processes, marketing initiatives and card acquiring/issuing experience Ability to lead cross-functional teams and manage complex projects in dynamic environments. Experience working with credit risk indicators to measure business performance. Significant focus on impacting ROI Self-motivated, results oriented individual with the ability to handle numerous projects concurrently Excellent communication, storytelling and presentation skills People-first mindset, team player, experience mentoring junior-level individuals Collaborative, and flexible, able to work effectively in matrixed organization. technologically savvy, curious, up to date with AI, digital trends, and applications

U.S. Applicants Only

The estimated salary range for this positionis $151,600 to $285,600 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

What Visa employees say

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Visa logo

About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958