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.
This is a fully remote, flexible contract role built for seasoned quantitative professionals who want meaningful, high-impact work on their own terms.
Type: Hourly Contract
Location: Remote
Commitment: Flexible
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
Must-Have
Who You Are
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
Proven 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