Senior Associate - Quant Modeling

Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. Job summary As a Portfolio Risk Modeling Senior Associate within Consumer & Community Banking Risk Management, you will support critical statistical development projects and related analysis. You will design, develop, test, and validate statistical models for risk weight calculation, risk forecasting, and model performance monitoring. You will apply graduate-level research and analytical skills to perform data extraction, sampling, and statistical analyses using methods such as logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, and panel data analysis. You will design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting. You will communicate and collaborate with business partners and model end-users to analyze and meet analysis and reporting needs. Job responsibilities Design statistical models for risk weight calculation, risk forecasting, and model performance monitoring. Develop statistical models and related analytics to support critical development projects. Test models and supporting code to ensure accuracy and stability. Validate models and monitoring approaches, including documenting model performance. Perform data extraction, sampling, and statistical analyses using techniques such as logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, and panel data analysis. Build efficient programs to streamline and create repeatable procedures for model development, validation, and reporting. Communicate proactively with business partners and model end-users on analysis objectives, progress, and results. Collaborate with partners and end-users to define and meet analysis and reporting needs. Required qualifications, capabilities, and skills Qualified graduate with minimum of 5 years of relevant experience in statistical modeling within financial services industry Proficiency in advanced analytical languages such as R, Python, PySpark, and AWS Master’s or Ph.D. degree in a technical or quantitative field such as Statistics, Economics, Finance, Mathematics, Computer Science, Engineering, or Information Technology Strong analytical and problem-solving skills Strong organization and time management skills, with the ability to deliver high-quality results under tight deadlines Strong multi-tasking skills, with demonstrated ability to manage expectations and deliver results Strong communication skills Preferred qualifications, capabilities, and skills Knowledge of regulatory modeling (IFRS 9 / CECL / CCAR / Basel)