Quantitative Research Associate - Asset and Wealth Management Risk

Are you seeking an exciting opportunity to join a dynamic and fast-paced team in a challenging area Join our team as a Quantitative Research Associate in the Asset & Wealth Management Risk Team. You will play a crucial role in developing and maintaining risk measurement methodologies, performing analytics calculations, and managing the Asset and Wealth Management Risk System (Newton). Your responsibilities will include contributing to the research and enhancement of risk methodologies for AWM Risk Analytics, collaborating with peers and stakeholders to identify opportunities for Data Science, assisting in continuous improvements of Machine Learning techniques, and designing scalable solutions using approved tools. Additionally, you will prepare model documentation for Model Risk Governance and Review, analyze new data sets, and ensure adherence to best practices in data model and architecture. The ideal candidate should have 2+ years of experience in quantitative analysis, data science, or a related field, possess strong technical skills, be detail-oriented, and have excellent communication abilities. A solid understanding of statistics, AI/ML techniques, and problem-solving skills is crucial. Knowledge of asset pricing, VaR backtesting, and programming languages like SQL, Python, and familiarity with ML tools like AWS Sagemaker and TensorFlow are preferred. A degree in Economics, Mathematics/Statistics, Engineering, Computer Science, or a related field is also preferred. Join us on a journey of innovation to introduce data-driven risk analytics solutions and transform our operations through machine learning techniques to enhance our system's value proposition.,