About the Role
What if your deep knowledge of credit risk modeling could directly strengthen the frameworks that financial institutions rely on? We're looking for a Senior Credit Risk Modeler to evaluate, validate, and improve credit scoring models and risk segmentation methodologies — ensuring accuracy, regulatory alignment, and analytical rigor across the board.
This is a fully remote, flexible contract role designed for seasoned quantitative professionals who can work independently and deliver high-quality analysis on their own schedule.
- Type: Hourly Contract
- Location: Remote
- Commitment: Flexible, project-based
What You'll Do
- Analyze and validate credit risk models, including the underlying assumptions and logic driving outcomes
- Review PD (Probability of Default), LGD (Loss Given Default), and EAD (Exposure at Default) frameworks for accuracy and completeness
- Identify inconsistencies, weaknesses, or gaps in risk scoring logic and segmentation criteria
- Summarize model performance findings and flag 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 across multiple workflows
Who You Are
Must-Have:
- Solid background in credit risk modeling, quantitative finance, or applied statistics
- Deep familiarity with risk metrics — PD, LGD, EAD — and the regulatory concepts that govern them
- Strong analytical thinking with the ability to identify model weaknesses and articulate findings clearly
- Excellent documentation skills with a structured, detail-oriented approach
Nice to Have:
- Experience working with financial institutions, consumer or commercial lending models, or regulatory frameworks such as Basel III/IV or IFRS 9
- Exposure to model validation teams, internal audit functions, or risk governance workflows
- Familiarity with statistical tools used in credit risk environments (e.g., SAS, R, Python)
Why Join Us
- Fully remote and flexible — work independently on your own schedule
- Apply senior-level expertise to meaningful, technically challenging work
- Freelance autonomy with the structure of clearly defined, project-based assignments
- Opportunity to work across diverse credit risk environments and model types
- Potential for ongoing work and contract extension as new projects launch