Jobs · Art & Creative

Senior Credit Risk Modeler

Alignerr · Seattle, WA · 1 wk ago
RemoteRemoteArt & CreativeContract

About the Role

What if your deep knowledge of credit risk frameworks could directly influence how financial institutions assess, validate, and improve their most critical models? We're looking for a Senior Credit Risk Modeler to evaluate credit scoring models, validate PD/LGD/EAD methodologies, and ensure regulatory alignment across risk-modeling workflows.

What You'll Do

  • Analyze credit risk models and rigorously validate their underlying assumptions
  • Review PD (Probability of Default), LGD (Loss Given Default), and EAD (Exposure at Default) frameworks for accuracy and completeness
  • Identify inconsistencies in risk scoring logic, segmentation criteria, and model architecture
  • Summarize model performance and pinpoint areas requiring recalibration or redesign
  • Assess regulatory alignment and evaluate the quality of model documentation
  • Support recurring reviews of credit risk datasets and scoring outputs

Who You Are

  • Must-Have:
    • Solid background in credit risk modeling, quantitative finance, or applied statistics
    • Deep, hands-on understanding of PD/LGD/EAD metrics and regulatory risk concepts
    • Strong analytical thinking with the ability to communicate findings clearly in writing
    • Prominent ability to work independently and deliver structured, high-quality assessments
  • Nice to Have:
    • Experience working with or within financial institutions, banks, or lending platforms
    • Familiarity with Basel II/III, IFRS 9, or other regulatory credit risk frameworks
    • Background in model validation, model risk management, or internal audit functions

Why Join Us

  • Fully remote and flexible — work on your schedule, from anywhere
  • Engage with complex, intellectually stimulating credit risk challenges
  • Freelance autonomy with the structure of meaningful, ongoing project work
  • Contribute expertise that directly shapes the quality and integrity of risk models
  • Potential for recurring engagements as new model validation cycles launch

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