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Credit Risk Data Science Jobs in California (NOW HIRING)

... data science and analytics. The team designs data-driven strategies to ensure the growth in lending is consistent with the company's risk appetite and helps create the products and experiences that ...

What you'll need: * 7+ years of unsecured credit risk and data science experience * Business acumen and work experience in the consumer lending business (loans or credit cards) * Direct experience in ...

What you'll need: * 7+ years of unsecured credit risk and data science experience * Business acumen and work experience in the consumer lending business (loans or credit cards) * Direct experience in ...

Credit Risk Analyst

San Diego, CA ยท On-site

$70K - $88K/yr

Performs detailed credit risk analysis, including analysis of financial data and ratios, to qualify new and existing counterparties that meet established timelines and support ongoing sales ...

Performs detailed credit risk analysis, including analysis of financial data and ratios, to qualify new and existing counterparties that meet established timelines and support ongoing sales ...

Director of Data Science

San Francisco, CA ยท 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 ...

As a key leader of the Credit Risk Management team for Intuit's business credit card product, this ... Partner with the Data Sciences team to develop and maintain models that predict multiple customer ...

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Showing results 1-20

Credit Risk Data Science information

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 California look for? The top searched job categories for Credit Risk Data Science jobs in California are:
What cities in California are hiring for Credit Risk Data Science jobs? Cities in California with the most Credit Risk Data Science job openings:
Infographic showing various Credit Risk Data Science job openings in California as of July 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Director, Credit Risk Analytics & Capital Markets

Director, Credit Risk Analytics & Capital Markets

Achieve

San Mateo, CA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Company Description

Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member's financial journey to include personal loans, home equity loans, debt consolidation, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and empathetic touch. We put people first and treat them like humans, not account numbers.

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S., with over $40B in enrollments for our industry-leading, tech-enabled debt resolution services business, and over $11Bn in personal and home loans originations via our banking-as-a-service partner.

Job Description

We are seeking a visionary and execution-oriented Director of Credit Analytics & Capital Markets to lead the development of next-generation credit risk capabilities, with a strong focus on leveraging AI and advanced analytics to transform credit underwriting at Achieve. This individual will also serve as the connect point between Credit Risk and Capital Markets/Investors, turning complex risk models and portfolio performance into a clear, compelling growth narrative for the investment community.ย This leader will drive strategic initiatives that enhance risk-adjusted returns, improve underwriting efficiency, strengthen investor confidence, and support scalable growth.ย 

This role requires deep expertise in consumer credit risk analytics and is ideal for a hands-on leader who combines strong quantitative capabilities with capital markets fluency and executive-level communication skills.ย 

What you'll do:

Credit Analytics & Portfolio Risk Management

  • Develop and enhance analytical frameworks to assess portfolio credit quality, monitor portfolio performance, and surface emerging credit trends.

  • Partner with Capital Markets, Finance, and Business teams to optimize risk-adjusted returns and identify opportunities for swap in/out segments at the margin.

  • Track macroeconomic, industry, and market developments and assess their potential impact on portfolio performance and credit risk.

  • Collaborate closely with Credit Modeling teams to identify emerging risk signals and incorporate business insights into model development, validation, and enhancement efforts.

AI-Driven Credit Underwriting Strategy

  • Lead the exploration and practical development of Credit Risk's AI and advanced analytics strategy to strengthen underwriting, risk assessment, and portfolio management capabilities.

  • Identify, evaluate, and integrate alternative internal and external data sources to enhance borrower assessment, risk identification, and predictive model performance.

  • Pilot and deploy AI agents and advanced analytical tools to accelerate risk management workflows, enhance signal detection, and improve speed-to-insight and execution.

  • Drive automation of underwriting processes to improve decision speed, consistency, operational efficiency, and scalability.

Capital Markets Support

  • Partner with Capital Markets and Finance teams to support securitizations, warehouse facilities, whole-loan sales, and other structured finance transactions.

  • Translate credit forecasts, portfolio performance, and strategic initiatives into clear, investor-focused narratives and capital markets communications.

  • Design and maintain a suite of BAU reporting and analytics to support investor relations, transaction execution, and ongoing capital markets activities.

  • Own Credit Enhancement projections in partnership with the Loss Forecasting team, proactively identifying risks, opportunities, and key drivers impacting Credit Enhancement liability.

Qualifications

ย ย What you'll bring:

  • 8+ years of experience in credit risk analytics, credit strategies, or quantitative risk management or related financial services disciplines.

  • 5+ years of leadership experience managing analytics, data science, or credit risk functions.

  • Strong knowledge of consumer lending (Personal loans, HELOC)ย 

  • Proven track record leading strategic transformation initiatives and cross-functional programs.

  • Advanced analytical skills (SQL, Python, or similar).

  • Ability to translate complex analytical concepts into actionable business recommendations.

  • Strong analytical, problem solving and communication skills.

  • Strategic thinker with strong business acumen and executive presence.

  • Strong stakeholder management skills across executive leadership, investors, regulators, and external partners.

Preferred:

  • Experience supporting Capital Markets function at a fintech.

  • Demonstrated experience deploying AI/ML solutions in lending, underwriting, or risk management environments.

  • Strong knowledge of Debt Settlement business.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Achieve well-being with:

  • 401 (k) with employer match
  • Medical, dental, and vision with HSA and FSA optionsย ย 
  • Competitive vacation and sick time off, as well as dedicated volunteer days
  • Access to wellness support through Employee Assistance Program, physical and mental health wellness programs
  • Pet care discounts for your furry family members
  • Financial support in times of hardship with our Achieve Care Fund
  • A safe place to connect and a commitment to diversity and inclusion through our six employee resource groups

We are proudly offering hybrid options in the San Mateo, CA and Phoenix, AZ metro market. In other locations throughout the country, we offer work from home.

Salary Range: $240,000 - $270,000 + bonus + benefits.ย 

This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors.

Join Achieve, change the future.

At Achieve, we're changing millions of lives.
From the single parent trying to catch up on bills to the entrepreneur needing a loan for the next phase of growth, you'll get to be a part of their journey to a better financial future. We're proud to have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas. We are strategically growing our teams with more remote, work-from-home opportunities every day to better serve our members. A career at Achieve is more than a job-it's a place where you can make a true impact, have a sense of belonging, establish a fulfilling career, and put your well-being first.

Attention Agencies & Search Firms:ย We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by Achieve's Talent Acquisition leader.

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