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Credit Risk Product Manager Jobs (NOW HIRING)

Manager Credit Risk

Chicago, IL ยท Hybrid

$119K - $204K/yr

Collaborate cross-functionally to assess new products, refine underwriting approaches, and ensure ... Credit Risk, Consumer Lending Products or Related including People Management Compensation ...

New

DV is looking for a Credit Risk Manager to lead its counterparty and credit risk management ... Confidence to resolve complex client challenges or learn new products by collaborating with ...

DV is looking for a Credit Risk Manager to lead its counterparty and credit risk management ... Confidence to resolve complex client challenges or learn new products by collaborating with ...

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Credit Risk Product Manager information

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$86.5K

$158.3K

$239.5K

How much do credit risk product manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for credit risk product manager in the United States is $158,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $177,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Credit Risk Product Manager jobs?

For Credit Risk Product Manager jobs, the most frequently searched job titles are:

Infographic showing various Credit Risk Product Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $158,312 per year, or $76.1 per hour.

Credit Risk Strategy Manager

San Francisco, CA โ€ข Hybrid

Full-time

Posted 17 days ago


Job description

Credit Risk Strategy Manager

Location: San Francisco Bay Area

Work Mode: Hybrid (2-3 days/week in office)

Role Summary:

The role will support the analysis, development and optimization of credit policies and strategies, with a focus on underwriting, credit line / loan amount assignment, and risk-based pricing. The individual will use analytical tools and data-driven insights to identify opportunities for profitable portfolio growth while effectively managing credit risk across the customer lifecycle.

Responsibilities:

  • Assist in the analysis, development and monitoring of credit policies, including underwriting, line assignment and pricing strategies.
  • Analyze credit and portfolio data to identify opportunities for risk-adjusted growth and recommend policy changes.
  • Develop and optimize underwriting criteria, credit line assignment and risk-based pricing strategies.
  • Evaluate the impact of credit policy changes through portfolio analysis, scenario testing and experiments.
  • Translate credit policies and strategies into business rules using SQL and Python.
  • Monitor key credit risk and business performance metrics and proactively identify emerging trends.
  • Collaborate with Risk, Product, Technology and Operations teams to implement credit policy changes.

Requirements:

  • 6+ Years of experience in Credit Risk
  • Strong analytical skills with hands-on experience in SQL; working knowledge of Python preferred.
  • Experience in credit risk strategy, credit policy, underwriting or portfolio analytics within Banking / Financial Services.
  • Good understanding of credit underwriting, line assignment / credit limit strategies and risk-based pricing.
  • Ability to analyze customer, application, bureau and portfolio data to identify trends and develop credit policy recommendations.
  • Experience in evaluating the impact of policy changes on approval rates, credit losses, profitability and portfolio growth.
  • Understanding of credit risk concepts such as eligibility criteria, risk segmentation, cut-offs, affordability, exposure management and pricing.
  • Ability to define and monitor relevant risk and business KPIs to measure strategy performance.
  • Experience with strategy testing, scenario analysis and A/B testing is preferred.
  • Knowledge of external credit data sources such as credit bureaus, FICO or similar third-party data is preferred.
  • Strong problem-solving skills with the ability to translate analytical findings into actionable business recommendations.
  • Ability to communicate and present analyses and recommendations effectively to business and risk stakeholders.
  • Knowledge of coding best practices, data manipulation and development of reusable analytical frameworks.