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Credit Risk Data Analyst Jobs in California (NOW HIRING)

Ellisor Group

Mortgage Data Analyst

San Francisco, CA

... credit risk, or structured finance analytics · Deep familiarity with non-QM loan types: DSCR, bank statement, asset depletion, foreign national · SQL and Excel or Python for analysis and reporting ...

SoFi

Senior Credit Manager

San Francisco, CA

The Senior Credit Manager will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi's lending ...

SoFi

Senior Credit Manager

San Francisco, CA

The Senior Credit Manager will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi's lending ...

SoFi

Senior Credit Manager

San Francisco, CA · On-site

The Senior Credit Manager will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi's lending ...

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Showing results 1-20

All JobsCredit Risk Data Analyst JobsCredit Risk Data Analyst Jobs in California

Credit Risk Data Analyst information

See California salary details

$36.5K

$112.4K

$194.9K

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

As of Jun 14, 2026, the average yearly pay for credit risk data analyst in California is $112,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,400.00 and $138,700.00 per year, depending on experience, location, and employer.

What does a Credit Risk Data Analyst do?

A Credit Risk Data Analyst is responsible for gathering, analyzing, and interpreting data related to credit risk to help financial institutions make informed lending decisions. They use statistical techniques and data modeling to assess the likelihood that a borrower will default on a loan. Their work supports the development of risk models, credit policies, and reporting processes, ensuring the institution minimizes losses while maximizing opportunities. These analysts often collaborate with risk managers, underwriters, and IT teams to develop and implement effective risk assessment tools.

How do Credit Risk Data Analysts typically collaborate with other departments within a financial institution?

Credit Risk Data Analysts often work closely with teams such as lending, underwriting, compliance, and IT. They provide data-driven insights to help these departments assess borrower risk, design credit policies, and ensure regulatory compliance. Collaboration usually involves regular meetings to discuss risk models, share analytical findings, and refine credit assessment processes, ensuring all teams are aligned in managing the institution's credit exposure effectively.

What is the difference between Credit Risk Data Analyst vs Credit Analyst?

AspectCredit Risk Data AnalystCredit Analyst
Primary FocusAnalyzing data to assess credit risk and predict defaultsEvaluating creditworthiness of individual or business applicants
Required SkillsData analysis, statistical modeling, risk assessmentFinancial analysis, credit evaluation, customer assessment
CertificationsRelevant certifications like CFA, credit risk certifications often preferredFinancial certifications like CFA, CPA may be beneficial
Work EnvironmentFinancial institutions, risk management teams, data-driven rolesBank branches, lending departments, credit departments

While both roles involve assessing credit, the Credit Risk Data Analyst primarily focuses on analyzing data to predict and manage credit risk, often working with large datasets and statistical models. The Credit Analyst evaluates individual credit applications and makes lending decisions. Both roles require financial knowledge and certifications, but their day-to-day tasks and focus areas differ.

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

To thrive as a Credit Risk Data Analyst, you need strong quantitative and analytical skills, a background in statistics or finance, and typically a bachelor’s degree in a related field. Proficiency in data analysis tools such as SQL, Python, R, and experience with risk modeling systems are highly valued, along with relevant certifications like FRM or CFA. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and conveying insights to stakeholders. These skills ensure accurate risk assessments, support sound decision-making, and help organizations manage financial exposure effectively.
What are popular job titles related to Credit Risk Data Analyst jobs in California? For Credit Risk Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Analyst jobs in California look for? The top searched job categories for Credit Risk Data Analyst jobs in California are:
Credit Risk Data Analyst jobs near you
Staff Data Scientist, ML (Credit Risk)

Staff Data Scientist, ML (Credit Risk)

Robinhood

Menlo Park, CA • On-site

$217K - $255K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 3 days ago

Job description

Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading.
About the team + role
We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
The Credit Card business team's mission is to shape Robinhood's vision in the credit and banking space by delivering smart, customer-focused financial solutions. Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood's broader goals!
As a Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models are at the heart of all lending decisions. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build highly predictive risk models. You will own the full lifecycle of model development from data prep, model building to model deployment.
This role is based in our Bellevue, WA, Menlo Park, CA, or Washington, DC office(s), with in-person attendance expected at least 3 days per week.
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
What you'll do
  • Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management
  • Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them
  • Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models
  • Deploy, maintain and monitor models in production
  • Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings
What you bring
  • You have 7+ years of experience in data science and credit modeling
  • You have strong proficiency in SQL and Python for data analysis and modeling
  • You have experience designing experiments and interpreting results to guide product decisions
  • You have domain knowledge and expertise in traditional credit data. Experience with non traditional credit data (such as cash flow) is a plus
  • You communicate clearly with both technical and non-technical partners
What we offer
  • Challenging, high-impact work to grow your career
  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
  • Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Base Pay Range:
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)
$217,000-$255,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)
$191,000-$224,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)
$170,000-$199,000 USD
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work-welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

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