JOBSEARCHER

Senior Credit Risk Modeler

AlignerrSeattle, WAApril 22nd, 2026
About The RoleWhat 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 ContractLocation: RemoteCommitment: FlexibleWhat You'll DoAnalyze credit risk models and rigorously validate their underlying assumptionsReview PD (Probability of Default), LGD (Loss Given Default), and EAD (Exposure at Default) frameworks for accuracy and completenessIdentify inconsistencies in risk scoring logic, segmentation criteria, and model architectureSummarize model performance and pinpoint areas requiring recalibration or redesignAssess regulatory alignment and evaluate the quality of model documentationSupport recurring reviews of credit risk datasets and scoring outputsMust-HaveWho You AreSolid background in credit risk modeling, quantitative finance, or applied statisticsDeep, hands-on understanding of PD/LGD/EAD metrics and regulatory risk conceptsStrong analytical thinking with the ability to communicate findings clearly in writingProven ability to work independently and deliver structured, high-quality assessmentsNice To HaveExperience working with or within financial institutions, banks, or lending platformsFamiliarity with Basel II/III, IFRS 9, or other regulatory credit risk frameworksBackground in model validation, model risk management, or internal audit functionsWhy Join UsFully remote and flexible — work on your schedule, from anywhereEngage with complex, intellectually stimulating credit risk challengesFreelance autonomy with the structure of meaningful, ongoing project workContribute expertise that directly shapes the quality and integrity of risk modelsPotential for recurring engagements as new model validation cycles launch