Model Validation
Model Validation
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1 Vacancy
Job Description
We are seeking a highly analytical and detailoriented 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 decisionmaking.
Review model design methodology data inputs assumptions limitations and performance metrics.
Conduct backtesting 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 117 OCC Basel CCAR etc. and internal model risk management policies.
Track model changes and periodic reviews and monitor ongoing performance over time.
Qualifications:
Bachelors or masters 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 problemsolving skills with the ability to communicate complex findings to both technical and nontechnical audiences.
Ability to work independently in a fully remote environment with minimal supervision.
Employment Type
Full Time
