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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist Model Validation Role - **Company:** AI AI LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, SQL Databases, Feature Engineering, Model Validation, Information Technology, Data Lineage, Production Code - **Published:** July 19, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p5tvsvyft1 ## About the Role * 5-7 years of experience in Model Validation and Quantitative Risk Management * Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, * Engineering, or a related quantitative field required. Master's degree or PhD. * Prior experience working within a formal MRM function is required. * Prior experience supporting U.S. banks, credit unions, fintechs, or consumer lenders. * Strong proficiency in Python, SQL, SHAP and LIME for model explainability,familiarity with champion-challenger frameworks and model monitoring tooling. * Experience with statistical model validation techniques, Machine learning model * assessment and Credit bureau data * Proven ability to work with global stakeholders across time zones * Proven ability to produce clear, structured, audit-ready validation reports suitable for regulatory examination and model governance review ## Description * Conduct independent validation of credit risk models used across the customer lifecycle including behavioural risk models and AI/ML-based credit decisioning models * Assess conceptual soundness, model methodology, assumptions, variable selection, feature engineering techniques, and model design. * Help establish and maintain a model inventory covering all models in production, development, and retirement stages, including risk tier and metadata * management. * Define and implement model materiality classification criteria (High / Medium / Low) to prioritize validation activities and resource allocation. * Support development of MRM policies, procedures, and standards alignedwith SR 26-2 (the current interagency guidance issued April 2026, superseding * SR 11-7) from inception, applying its principles-based, risk-proportionateapproach. * Execute validation using champion-challenger framework, benchmarking, stresstesting, and sensitivity analysis. * Validate model implementation by verifying that production code and system outputs match approved model specifications. * Assess data quality, data lineage, and feature appropriateness, including review of credit bureau data usage. * Define ongoing monitoring standards including PSI, CSI, Gini/KS tracking thresholds, and escalation triggers for model performance degradation. Review * periodic model performance monitoring reports * Evaluate fairness, bias, and model transparency considerations particularly forAI/ML models used in credit decisioning under ECOA/Reg B. * Author end-to-end validation reports covering scope, data assessment,methodology review, findings, risk ratings, compensating controls, and formal * recommendations (Approve / Conditionally Approve / Reject). * Assign and justify model risk ratings based on model materiality, complexity, intended use, and potential business impact. * Review model development documentation, implementation documents,monitoring reports, and change management records. * Ensure all MRM activities comply with SR 26-2, OCC Bulletin 2026-13,ECOA/Reg B, and FCRA regulatory requirements. Apply SR 26-2's risk-based, * proportionate approach to validation prioritization and governance design. * Partner with model development, risk, compliance, and technology teams to discuss findings and agree on remediation plans and model change * management processes. * Present validation results to senior management, model governance committees, and client stakeholders. * Support external audits, regulatory examinations, and client due diligence activities. ## Related Videos - [AI in Regulated Industry - Validating AI-Enabled Products with PLM and Digital Twins](https://www.wearedevelopers.com/videos/2065-ai-in-regulated-industry-validating-ai-enabled-products-with-plm-and-digital-twins) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Designing the Future of Human<>Agent Collaboration](https://www.wearedevelopers.com/videos/1447-designing-the-future-of-human-agent-collaboration) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [The New Financial Stack: AI, Agents and Trust](https://www.wearedevelopers.com/videos/100002-the-new-financial-stack-ai-agents-and-trust) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)