Senior Credit Risk Manager, Data-Driven Lending

Figure Lending; United States; Remote; USD 135,000 - 202,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Equity RSUs

401(k) and commuter benefits

Paid holidays and PTO

Job summary

Figure Technology Solutions, Inc. in the United States is seeking a Credit Risk Manager to transform customer insights into strategies for HELOC and secured lending portfolios.

You will partner with Capital Markets, Product, Engineering, Servicing, and Compliance to oversee credit policies and drive risk-aware growth. You will use advanced analytics, historical loan data, and alternative data sources to refine underwriting, model segment economics, and design monitoring frameworks.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• 5+ years in credit risk management or data science within consumer lending.
• Proficient in SQL and Python/R.
• Experience with Tableau, Power BI, and Looker.
• Strong analytical and communication skills.

Responsibilities

• Refine underwriting strategies using advanced analytics.
• Model credit expansion and identify new customer segments.
• Analyze loan performance and optimize risk decisions.
• Design A/B tests balancing risk and conversion.
• Present underwriting methodology to investors.
• Ensure compliance with regulatory requirements.
• Collaborate with cross‑functional teams across product, engineering and data science.

Skills

SQL

Python/R

Analytical skills

Communication

Team player

Risk management

Education

Bachelor's or Master's degree in quantitative field

Tools

Tableau

Power BI

Looker

Job description

Figure Technology Solutions, Inc. in the United States is seeking a Credit Risk Manager to transform customer insights into strategies for HELOC and secured lending portfolios.

You will partner with Capital Markets, Product, Engineering, Servicing, and Compliance to oversee credit policies and drive risk-aware growth. You will use advanced analytics, historical loan data, and alternative data sources to refine underwriting, model segment economics, and design monitoring frameworks.