Credit Risk Manager

Socket.dev; United States; On-site; USD 135,000 - 168,000; Full time

Benefits offered by this job

Medical coverage

Dental & Vision insurance

401(k)

HSAs

Life & Disability Insurance

Holidays & PTO

Paid family leave

Education reimbursement

Job summary

Figure in the United States is seeking a Credit Risk Manager to transform analytics and alternative data into risk-aware strategies for HELOC and secured lending portfolios. You will guide underwriting decisions and collaborate across teams to safeguard portfolio health while enabling growth.

Join a fast-moving environment where you’ll model risk, test new data sources, and present methodologies to investors, with a focus on cross-functional impact and compliance of quantitative strategies.

Qualifications

• Bachelor/Master’s degree with a quantitative background.
• 5+ years in credit risk management or data science within consumer lending.
• Strong analytical and problem-solving skills with business judgment.
• Advanced proficiency in SQL and Python/R.
• Experience with Tableau, Power BI, Looker.

Responsibilities

• Refine underwriting strategies using analytics to optimize risk decisions across lending products.
• Model credit expansion, identify new customer segments, optimize funnel.
• Analyze data to support fraud controls and risk management.
• Develop valuation models and advise on yield projections.
• Design A/B tests with product/engineering/data science.
• Track and validate performance of credit and fraud rule changes.
• Monitor portfolio risks for new product launches.
• Present underwriting methodology to investors and support due diligence.
• Collaborate with Legal and Compliance to meet regulatory requirements.
• Conduct ad hoc quantitative analyses for broader objectives.

Skills

SQL

Python/R

Analytical thinking

Communication

Team collaboration

Education

Bachelor's or Master's in quantitative field

Tools

Tableau

Power BI

Looker

Job description

About Figure

Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We’re proving that blockchain isn’t just theory - it’s powering real products used by hundreds of thousands of consumers and institutions.

By combining blockchain’s transparency and efficiency with AI-driven automation, we’ve reimagined how loans are originated, funded, and traded in secondary markets. From faster processing times to lower costs and reduced bias, our technology is helping borrowers, investors, and financial institutions achieve better outcomes.

Together with our 170+ partners, we’ve originated over $22 billion in home equity loans (HELOCs) on our blockchain-native platform, making Figure the largest non-bank provider of home equity financing in the U.S. Figure’s ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin that operates as a tokenized money market fund, and several other products and platforms that are reshaping consumer finance and capital markets.

We’re proud to be recognized as one of Forbes’ Most Innovative Fintech Startups in 2025 and Fast Company’s Most Innovative Companies in Finance and Personal Finance.

About the Role

Join our team as a Credit Risk Manager! In this collaborative, high-visibility role, you will harness cutting-edge analytics and alternative data to transform customer insights into winning strategies for our HELOC and secured lending portfolios. Partnering closely with Capital Markets, Product, Engineering, Servicing, and Compliance, you will oversee credit policies, guide execution, and pioneer creative risk frameworks that safeguard portfolio health while unlocking growth. If you are a proactive problem solver who loves digging deep into lending analytics, exploring novel data sources, and uniting cross-functional teams around portfolio performance, we want to hear from you.

What You’ll Do

• Continuously refine and modernize credit underwriting strategies using advanced analytics to optimize risk decisions across lending products.
• Analyze historical loan performance data to model credit expansion initiatives, identify new customer segments, and optimize funnel conversion.
• Perform root-cause analyses on credit losses and default trends, partnering with Fraud Risk Management to sharpen fraud controls.
• Develop valuation models to estimate segment-level economics and advise Capital Markets on yield projections and performance assumptions.
• Partner with Product, Engineering, and Data Science to design A/B tests that balance risk control, conversion lift, and user experience.
• Track and validate pre- and post-implementation performance for all deployed credit and fraud rule changes.
• Design monitoring frameworks to track new product launches at a granular segment level, identify emerging portfolio risks, and inform executive decision-making.
• Present Figure’s underwriting methodology to investors and serve as a core contact for due diligence and portfolio performance inquiries.
• Collaborate with Legal and Compliance to ensure all credit strategies strictly meet regulatory requirements.
• Conduct ad hoc quantitative analyses to support broader Credit, Operations, and Product objectives.

What We Look For

• Bachelor/Master’s degree with a quantitative background (e.g., Statistics, Math, Economics, Computer Science, Engineering, or Business).
• 5+ years in credit risk management or data science within consumer lending.
• Comfortable working in a fast-moving, evolving environment where priorities shift, and initiatives move quickly.
• Self-driven, with intense focus on results. High curiosity with a proven track record of probing root causes, challenging the status quo, and designing out-of-the-box solutions.
• Strong analytical and problem-solving skills, combined with solid business judgment
• Clear, strong communicator who can translate complex data into simple, actionable insights for any audience.
• Strong team player and comfortable interacting with partners across multiple teams and at varying levels of seniority
• Advanced proficiency in SQL and Python/R for pulling, cleaning, and modeling complex relational data independently.
• Practical application of predictive modeling, customer segmentation, and statistical procedures to evaluate risk and borrower behavior.
• Experience with Tableau, Power BI, and Looker.
• Adhere to all company security policies and data handling procedures.
• Complete mandatory security awareness training within required timeframes.
• Promptly report any suspected security incidents or suspicious activity to the Security team.

Salary

• Base Compensation Range: $134,640 - $168,300/yr
• 25% annual bonus target, paid quarterly
• Company equity in the form of RSUs

This is the compensation range for the role in the United States. Actual compensation may vary based on a candidate’s experience, skills, location, internal equity, and evolving business needs. While most offers are generally made within the middle of the range, final compensation is determined based on the factors above.

Benefits

• Comprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees and their dependents on select plans
• Company HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits
• Employer-paid life and disability insurance
• 11 observed holidays and PTO plan
• Up to 12 weeks of paid family leave
• Continuing education reimbursement

Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice.

Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

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