We are seeking a highly analytical and detail-oriented remote model validation analyst to assess, validate, and monitor the performance of models used across business operations. This role ensures that predictive, statistical, and financial models meet regulatory requirements, operate within risk tolerance, and perform reliably over time. The ideal candidate has strong quantitative skills, experience with model risk management frameworks, and the ability to work independently in a remote environment.
Key Responsibilities:
Perform independent validation of models used in risk management, pricing, credit, forecasting, or operational decision-making.
Review model design, methodology, data inputs, assumptions, limitations, and performance metrics.
Conduct back-testing, sensitivity analysis, benchmarking, and scenario testing.
Document validation findings, clearly identifying model weaknesses, limitations, and potential risk.
Collaborate with model developers, data scientists, and business stakeholders to ensure model transparency and compliance.
Ensure alignment with regulatory guidelines (e.g., SR 11-7, OCC, Basel, CCAR, etc.) and internal model risk management policies.
Track model changes and periodic reviews, and monitor ongoing performance over time.
Qualifications:
Bachelor's or master's degree in a quantitative field such as statistics, mathematics, economics, finance, computer science, or engineering.
2+ years of experience in model validation, quantitative analytics, risk management, or related roles.
Proficiency in programming and statistical tools (e.g., Python, R, SAS, SQL, MATLAB).
Strong understanding of model governance, risk modeling, and regulatory standards.
Exceptional analytical and problem-solving skills with the ability to communicate complex findings to both technical and non-technical audiences.
Ability to work independently in a fully remote environment with minimal supervision.
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