Credit Risk Manager: Data-Driven Growth & Analytics

Make Choteau Home; Town of Montana (WI); Remote; USD 135,000 - 168,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

RSUs

401(k) and HSA

Job summary

Figure Technology Solutions, Inc. is seeking a Credit Risk Manager to leverage advanced analytics and alternative data to shape underwriting strategies for HELOC and secured lending portfolios.

You’ll work with cross-functional teams to oversee policies, guide execution, and pioneer risk frameworks that protect portfolio health while enabling growth. The role requires a strong quantitative background, 5+ years in credit risk or data science, and proficiency in SQL and Python/R.

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.
• Advanced proficiency in SQL and Python/R for pulling, cleaning, and modeling complex data.
• Experience with Tableau, Power BI, and Looker.

Responsibilities

• Continuously refine and modernize credit underwriting strategies using analytics to optimize risk decisions across lending products.
• Analyze historical loan performance data to model credit expansion initiatives and optimize funnel conversion.
• Perform root‑cause analyses on credit losses and default trends to sharpen fraud controls.
• Develop valuation models to estimate segment-level economics and advise on yield projections.
• Partner with Product, Engineering, and Data Science to design A/B tests balancing risk control and conversion.

Skills

SQL

Python

R

Credit risk modeling

Data analytics

Lending analytics

Education

Bachelor/Master’s degree in a quantitative field

Tools

Tableau

Power BI

Looker

Job description

Figure Technology Solutions, Inc. is seeking a Credit Risk Manager to leverage advanced analytics and alternative data to shape underwriting strategies for HELOC and secured lending portfolios.

You’ll work with cross-functional teams to oversee policies, guide execution, and pioneer risk frameworks that protect portfolio health while enabling growth. The role requires a strong quantitative background, 5+ years in credit risk or data science, and proficiency in SQL and Python/R.