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Credit Risk Data Science Jobs in Foster City, CA

Director, VCA NA Risk Practice

Foster City, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Director, VCA NA Risk Practice

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$185 - $225/hr

  • Medical

  • Retirement

... mitigate credit and fraud risk across our platform. You'll lead the development of underwriting ... Drive strategic data science initiatives that directly impact business outcomes, working closely ...

WPC Apple Card Data Scientist

Cupertino, CA

$175K - $311K/yr

  • Medical

  • Dental

  • Retirement

You should have experience and subject matter expertise in financial modeling, payments, banking, credit, risk operations, data science, and finance. Previous experience working in the credit card ...

WPC Apple Card Data Scientist

Cupertino, CA · On-site

$175.50 - $311.70/hr

  • Medical

  • Dental

  • Retirement

You should have experience and subject matter expertise in financial modeling, payments, banking, credit, risk operations, data science, and finance. Previous experience working in the credit card ...

Data Scientist, AI Solutions

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

MS or MS in Computer Science, Statistics, Mathematics, Engineering, or a related discipline ... Familiarity with Fraud Detection, Credit Risk, or Trust & Safety, including knowledge of payment ...

Data Scientist, AI Solutions

Mountain View, CA · On-site

$120 - $170/hr

  • Medical

  • Dental

  • Vision

  • Retirement

MS or MS in Computer Science, Statistics, Mathematics, Engineering, or a related discipline ... Familiarity with Fraud Detection, Credit Risk, or Trust & Safety, including knowledge of payment ...

Data Scientist, AI Solutions

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

MS or MS in Computer Science, Statistics, Mathematics, Engineering, or a related discipline ... Familiarity with Fraud Detection, Credit Risk, or Trust & Safety, including knowledge of payment ...

Data Scientist, AI Solutions

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

MS or MS in Computer Science, Statistics, Mathematics, Engineering, or a related discipline ... Familiarity with Fraud Detection, Credit Risk, or Trust & Safety, including knowledge of payment ...

Showing results 41-60

Credit Risk Data Science information

See Foster City, CA salary details

$43.1K

$132.7K

$230.2K

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

As of Aug 18, 2026, the average yearly pay for credit risk data science in Foster City, CA is $132,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $163,800.00 per year, depending on experience, location, and employer.

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.

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 cities near Foster City, CA are hiring for Credit Risk Data Science jobs?

Cities near Foster City, CA with the most Credit Risk Data Science job openings:

Credit Strategy Director, Home Improvement

LendingClub

San Francisco, CA • On-site

$175 - $205/hr

Other

Medical, Dental, Vision, Retirement

Posted 13 days ago


LendingClub rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Credit Strategy Director, Home ImprovementSkip to main content#Credit Strategy Director, Home Improvement page is loaded## Credit Strategy Director, Home ImprovementApplylocations: San Francisco, CAtime type: Full timeposted on: Posted Yesterdayjob requisition id: R0007444### Current Employees of Happen Bank: Please apply via your internal Workday Account Happen Bank (formerly LendingClub) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more. ## ## About the RoleThis role leads credit strategy and pricing for Happen Bank's Home Improvement lending segment, a key unsecured Point of Sale business within Consumer Banking. It's responsible for shaping how the bank underwrites, prices, and manages risk in this segment, balancing growth with disciplined, risk-adjusted returns. The work spans policy, analytics, and cross-functional partnership, with direct influence on how the business scales responsibly.## ## What You'll Do* Own credit risk management and pricing strategy for the Home Improvement lending segment* Develop and refine credit policies, underwriting criteria, exposure limits, segmentation, and pricing models, including vintage loss forecasting and valuations* Partner with cross-functional teams to shape annual operating and strategic plans* Drive loan issuance that delivers durable risk-adjusted returns for marketplace investors and held-for-investment assets, in line with business plan and risk appetite* Lead development of predictive models, grading systems, and experimentation to compete along an optimal risk-return frontier* Use AI-driven tools and techniques to sharpen credit performance analysis, surface optimization opportunities, and streamline workflows, while setting a high bar for responsible, explainable use* Implement credit strategy changes with rigorous testing and strong preventive and detective controls* Maintain credit policy documentation and standard operating procedures in line with bank and regulatory standards* Partner with Product, Business, Engineering, and Data Science to drive innovation and new product development* Build monitoring systems and early warning mechanisms to manage credit and operational risk* Direct accurate, timely credit risk reporting for Credit Committee, Board, and regulatory needs* Coach and mentor junior team members, strengthening analytical rigor and execution across the team## ## **About You*** 10+ years of experience in financial services, credit risk management, pricing, portfolio analytics, or lending strategy; bachelor's degree or higher, or equivalent combination of education and experience* Deep domain expertise in unsecured lending, preferably point of sale lending or credit cards, with strong understanding of commercial value drivers* Proven track record in credit policy development, underwriting strategy, pricing optimization, risk segmentation, loss forecasting, and portfolio analytics* Skilled in translating credit and pricing strategy into business requirements, testing plans, controls, and production implementation* Proficient in SQL, Python, and Tableau, with strong familiarity with advanced analytics and credit/ML models for consumer credit products* You understand how AI and ML models interact with credit risk decision-making, including their limitations and regulatory implications, and know when a model should inform a decision versus drive it* You set a high bar for responsible AI use in high-stakes work, with attention to data integrity, model limitations, and compliance, and you're building new workflows rather than just using existing ones* Strong communicator and collaborator who can translate complex credit and analytical topics for a range of stakeholders* Detail-oriented with sound judgment, a strategic mindset, and a consistent focus on measurable business results**Nice to Have*** Advanced degree in Statistics, Finance, Economics, or a related quantitative field* Experience mentoring or developing analytical talent in a credit or risk function**Work Location** San Francisco, Lehi, New York, Boston, Remote The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role’s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role’s success, and remote placement will not be considered. Happen Bank offers relocation, based on actual job level. **Time Zone Requirements** Local hours (PT, MT, CT, ET) While the position will primarily work local hours, Happen Bank is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary. **Travel Requirements** As needed travel to Happen Bank offices and/or other locations, as needed. **Compensation** The target base salary range for this position is 175,000-205,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of Happen Bank's Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings). We’re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more. #LI-Hybrid #LI-GB1Happen Bank is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@happen.com. **Notice on AI Tool Use**For select roles and locations, candidate interviews may be recorded, transcribed and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process. You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out. During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment.We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, please refer to our Privacy Disclosure. We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision. #J-18808-Ljbffr

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