Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
As a Quant Modeling Associate – Portfolio Risk Modeling in India, you will be a key member of the Portfolio Risk Modeling team. You will support critical statistical development projects and related analysis. Your role will involve designing, developing, testing, and validating statistical models for risk weight calculation, risk forecast, and model performance monitoring. You will utilize your advanced analytical skills to perform data extraction, sampling, and statistical analyses. You will also design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting. We value proactive communication and collaboration with our line of business partners and model end-users to analyze and meet analysis and reporting needs. 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.
Chase Consumer & Community Banking serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others.
Job responsibilities :
Design, develop, test, and validate statistical models for risk weight calculation, risk forecast and model performance monitoring. Support critical statistical development projects and related analysis Utilize graduate-level research and analytical skills to perform data extraction, sampling, and statistical analyses using logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, panel data analysis, etc. Design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting. Communicate and collaborate with line of business partners and model end-users to analyze and meet analysis and reporting needs.
Required qualifications, capabilities, and skills
Minimum 3 years statistical modeling experience in the financial services industry Proficiency in advanced analytical languages such as R, Python. A 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. Must have 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 (IFRS9 / CECL / CCAR / Basel) preferred. Proficiency in advanced analytical languages such as SAS (Preferred)