Credit Risk Analytics Manager

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AI Summary

We are seeking a strategic Credit Risk Analytics Manager to support the Loss Forecasting workstream within the US credit card portfolio. This role sits in the first line of defense and focuses on policy and portfolio analytics. The ideal candidate can clearly link credit policy actions to portfolio performance and loss outcomes.

Key Highlights
Translate credit policy decisions into portfolio loss forecasts
Assess portfolio impact from changes in first-line risk drivers
Develop and apply vintage, roll-rate, stochastic time-series, and challenger models
Key Responsibilities
Translate credit policy decisions into portfolio loss forecasts
Assess portfolio impact from changes in first-line risk drivers
Perform variance analysis, tracking actuals vs. forecasts and explaining key drivers
Technical Skills Required
Python SQL
Nice to Have
Acquisition credit policy experience
Exposure to macroeconomic and consumer debt trend analysis

Job Description


Dice is the leading career destination for tech experts at every stage of their careers. Our client, Apidel Technologies, is seeking the following. Apply via Dice today!

Other Details:

o Hybrid: 3-4 Days Onsite in a week.

o Interview Process: 3 rounds via MS Teams

o Relocation Assistance for non-local candidates.Role Summary:

o We are seeking a strategic Credit Risk Analytics Manager to support the Loss Forecasting workstream within the US credit card portfolio.

o This role sits in the first line of defense and focuses on policy and portfolio analytics (not fraud, model validation, or implementation-heavy work).

o The ideal candidate can clearly link credit policy actions to portfolio performance and loss outcomes, with strong forecasting-adjacent experience.Key Responsibilities:

o Translate credit policy decisions (Acquisition policy preferred; ECM acceptable) into portfolio loss forecasts.

o Assess portfolio impact from changes in first-line risk drivers, including:

  • Credit Line Management expansions/tightening.
  • Student loan and macroeconomic trends.
  • Risk appetite changes tied to debt sale dynamics.

o Perform variance analysis, tracking actuals vs. forecasts and explaining key drivers.

o Develop and apply vintage, roll-rate, stochastic time-series, and challenger models.

o Partner with stakeholders to clearly articulate forecast assumptions, drivers, and outcomes.

o Deliver executive-ready summaries and presentations, distilling complex analytics into clear recommendations.Required Qualifications:

o 5+ years of experience in the US credit card industry within credit risk, loss forecasting, or credit policy strategy.

o Strong first-line risk background with policy and portfolio analytics focus.

o Hands-on expertise with vintage models, roll-rate models, and stochastic time-series models.

o Proven ability to connect policy changes to portfolio and loss outcomes.

o Advanced Python and SQL skills.

o Strong communication and consulting-style storytelling for senior leadership.Preferred:

o Acquisition credit policy experience.

o Exposure to macroeconomic and consumer debt trend analysis.

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