About this role

Leading the validation of predictive and machine-learning models for specific business needs using statistics and advanced mathematical techniques
Guiding a team and/or project through providing solutions to business problems leveraging statistics and quantitative tools/techniques
Assessing and validating models, methodologies, and analytical frameworks
Communicating technical theories and models to a non-technical audience
Evaluating the appropriateness of analytical methods used and assessing their justification

Master’s degree or its equivalent in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor’s degree or its equivalent in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience
Data literacy with understanding of best practices for capturing/retaining data
Experience leading by partnering with others to anticipate and understand needs
Understanding of advanced modeling techniques, including machine learning methods (e.g., XGBoost, LightGBM, Random Forest)
Proficient in Advanced Microsoft Office Suite, SQL/NoSQL, and relationship data structure
Proficient in Advanced Python/R/SAS

Eligibility for incentive compensation which may include production, commission, and/or discretionary incentives

Quantitative Analytics Manager – Model Risk

Key skills