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Credit Risk Data Science Jobs in Burlingame, CA (NOW HIRING)

Brigit

Director of Data Science

San Francisco, CA · On-site

$225K - $250K/yr

Experience applying predictive modeling to credit risk assessment, churn prediction, loss and ... data science productivity, quality, and business impact. The anticipated annual base salary for ...

Plaid

Staff Data Scientist - Credit

San Francisco, CA · On-site

$140 - $190/hr

This role is well suited for someone with deep credit risk expertise who can connect underwriting ... Science, Engineering, and Go‑to‑Market teams * Translate lender objectives and credit ...

MoneyLion

Staff Data Scientist - Credit

San Francisco, CA · On-site

$140 - $190/hr

This role is well suited for someone with deep credit risk expertise who can connect underwriting ... Data Science, Engineering, and Go-to-Market teams * Translate lender objectives and credit ...

Found

Senior Data Scientist (Risk)

San Francisco, CA · On-site

$163 - $225/hr

... credit, fraud, and compliance risks. * Develop and Implement Risk Controls: Partner with product, engineering and data science teams to design, build, and deploy automated risk controls and ...

SoFi

Credit Strategy Manager

San Francisco, CA

... and risk and operational data science and analytics. The team designs data-driven strategies to ... The Credit Strategy Lead will work in the Credit team and have responsibilities to analyze and ...

Intuit

Manager 2, AI Science

Mountain View, CA · On-site

... data - to build proprietary risk attributes and models. * Own credit risk AI science for the consumer lending and fast-money portfolio - including first-generation and next-generation credit risk ...

Intuit

Manager 2, AI Science

Mountain View, CA · On-site

... data - to build proprietary risk attributes and models. * Own credit risk AI science for the consumer lending and fast-money portfolio - including first-generation and next-generation credit risk ...

Intuit

Manager 2, AI Science

Mountain View, CA

... data -- to build proprietary risk attributes and models. * Own credit risk AI science for the consumer lending and fast-money portfolio -- including first-generation and next-generation credit risk ...

SoFi

Credit Strategy Manager

San Francisco, CA · On-site

... and risk and operational data science and analytics. The team designs data-driven strategies to ... The Credit Strategy Lead will work in the Credit team and have responsibilities to analyze and ...

Visa

Director, VCA NA Risk Practice

Foster City, CA · On-site

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 ...

Visa

Director, VCA NA Risk Practice

San Francisco, CA · On-site

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 ...

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Showing results 21-40

All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Burlingame, CA

Credit Risk Data Science information

See Burlingame, CA salary details

$41.8K

$128.6K

$223K

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

As of Aug 11, 2026, the average yearly pay for credit risk data science in Burlingame, CA is $128,585.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $158,600.00 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 skills and qualifications are needed to thrive as a credit risk data scientist?

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 cities near Burlingame, CA are hiring for Credit Risk Data Science jobs? Cities near Burlingame, CA with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in Burlingame, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,585 per year, or $61.8 per hour.

Director of Data Science

Brigit

San Francisco, CA • On-site

$225K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!
Brigit is doing innovative and exciting work, but don't just take our word for it, our work is being recognized by others:
  • Built In's 2026 Best Midsize Companies to Work For in New York City
  • Built In's 2025 Best Places to Work For In New York City
  • Built In's 2024 & 2025 Best Startups to Work For In the U.S.
  • Built In's 2023 - 2025 Best Startups to Work For In New York City
  • Fast Company's Most Innovative Companies of 2022
  • Business Insider's Most Promising Consumer Startups 2022
  • Forbes Fintech 50 2022

Role Overview:
At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to integrate new models across several product domains over the next year and continue to iterate and optimize in the areas of credit risk and payments, where we already have models deployed. We are looking for a leader to enable continued adoption of AI-assisted development and agentic workflows in how the team builds, evaluates, documents, and ships data science work. Doing this will require our team to grow, but it will also require a more concerted effort to plan and integrate with product teams, understand their roadmap, and explore projects that make sense in this context. To support this growth, we'd like to hire a motivated Director of Data Science to grow and lead this team to its maximum potential.
What you'll be doing:
  • Managing and growing a team of data scientists focused on modeling key business problems.
  • Mentoring and guiding team members as they build out quantitative models in python using industry-standard techniques.
  • Evangelizing the data science team's capabilities and integrating with product, engineering and operations teams to build a roadmap and backlog of data science solutions with business impact.
  • Running quarterly planning with the engagement of business stakeholders to ensure that the team is running in the right direction.
  • Helping lead the team's adoption of AI-assisted development and agentic workflows, including identifying practical use cases, setting working norms, and ensuring these tools are used with appropriate review, validation, privacy, and quality standards.
  • Working closely with our Modeling Engineer to optimize and improve our infrastructure for model research, development and deployment.

What you have:
  • 2+ years of Data Science management with a team of >3
  • 5+ years of modeling/data science experience overall
  • 2+ years of experience at a consumer product company
  • Deep technical expertise in SQL and Python, with experience in analytics and machine learning tools (dbt, Airflow, Spark, MLflow, etc.)
  • Experience applying predictive modeling to credit risk assessment, churn prediction, loss and revenue forecasting is beneficial.
  • A Master's or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred
  • Strong communication skills, with the ability to distill complex analysis into actionable insights for commercial and executive stakeholders
  • A passion for developing talent and building a high-impact culture rooted in accountability, data-driven decisions, and business outcomes
  • Hands-on familiarity with modern AI-assisted coding and agentic tools such as Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar, with a strong point of view on how these tools can improve data science productivity, quality, and business impact.

The anticipated annual base salary for this position is $225,000 - $250,000, and a 10% annual bonus opportunity. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.
Our Benefits & Team
  • Medical, dental, and vision insurance
  • Flexible PTO Policy
  • 401k plan
  • Paid Parental Leave
  • Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support
  • Monthly reimbursements to use against wifi and cell phone bills
  • Annual reimbursement for Learning & Development
  • Help hard working Americans build a brighter financial future
  • High-growth company
  • A dynamic, flexible and collaborative start-up work environment with a highly talented team

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodations@hellobrigit.com.
Disclosures:
  • For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
  • Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.

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