Job Description:
Job Description
Bank of America Merrill Lynch has an opportunity for a Sr. Quantitative Financial Analyst within our Global Risk Analytics (GRA) function. GRA is a sub-line of business within Global Risk Management (GRM). GRA is responsible for developing a consistent and coherent set of models and analytical tools for effective risk and capital measurement, management and reporting across Bank of America. GRA partners with the Lines of Business and Enterprise functions to ensure that its models and analytics address both internal and regulatory requirements, such as quarterly Enterprise Stress Testing (EST), the annual Comprehensive Capital Analysis and Review (CCAR), and the Current Expected Credit Losses (CECL) accounting standard. GRA models follow an iterative and ongoing development life cycle, as the bank responds to the changing nature of portfolios, economic conditions and emerging risks. In addition to model development, GRA conducts model implementation, data management, model execution and analysis, forecast administration, and model performance monitoring. GRA drives innovation, process improvement and automation across all of these activities.
Overview of Consumer Loss Forecasting
The Consumer Loss Forecasting (CLF) team is part of Global Risk Analytics (GRA). CLF provides analytical insights, enabling improved Credit Risk management. The primary delivery vehicle is through consumer loss forecasts. , These forecasts are utilized for allowance setting, financial planning, Comprehensive Capital Analysis & Review (CCAR) submission, and other business decision-making. In order to deliver these insights, the team:
This role plays a critical part in the Bank’s stress testing, financial planning, and risk management activities. It requires a strong understanding of consumer credit business with the ability to apply this knowledge to data and quantitative analysis, combining business acumen with analytical and statistical skills to assess, explain, detect, quantify risks and uncertainties, communicate key insights and discoveries to broader loss forecast community on material discoveries and drive well-informed risk management decisions.
The Sr. Quantitative Financial Analyst interacts with a wide variety of stakeholders including risk managers, model developers, statisticians and data analysts. The Analyst will
Required Skills
Bachelor's degree
Desired Skills
Shift:
1st shift (United States of America)
Hours Per Week:
40
Read Full Description