Senior Credit Risk Product Manager — Remote

Quona Capital; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health benefits

Flexible PTO

Learning budget

Job summary

Bureau is hiring a Senior Product Manager for Credit Risk to own the signals, scores, and decisioning tools used by lenders to approve, price, and monitor borrowers. This is a builder's role, turning lender delivery into scalable products used by hundreds of institutions globally.

You'll ship signals from alternative data and fraud indicators, partner with data science to productionize models, and drive credit lifecycle coverage from onboarding to collections.

Qualifications

• 5-8 years of product management experience owning end-to-end products.
• Consumer/enterprise credit risk domain experience is a must-have.
• Hands-on with signals and risk indicators used to drive decisions.
• Strong data fluency; able to query data and derive insights with SQL.
• Clear communication with CROs, engineers, and sales teams.

Responsibilities

• Own the credit signals roadmap and select the next signals to build.
• Engage with lenders to understand underwriting and collections pain points and translate into products.
• Build across the credit lifecycle: onboarding, underwriting, limits, early warnings and collections.
• Partner with data science to define what a great signal looks like and take models to production.
• Launch API-first products and measure impact on approvals, delinquency, and fraud loss.
• Support GTM and ensure compliance alignment with RBI and data protection rules.

Skills

Product management experience

Credit risk domain knowledge

SQL

Data-driven decision making

Communication

Tools

SQL

Job description

Bureau is hiring a Senior Product Manager for Credit Risk to own the signals, scores, and decisioning tools used by lenders to approve, price, and monitor borrowers. This is a builder's role, turning lender delivery into scalable products used by hundreds of institutions globally.

You'll ship signals from alternative data and fraud indicators, partner with data science to productionize models, and drive credit lifecycle coverage from onboarding to collections.