Vice President; Quantitative Finance Analyst
About The Position
At Bank of America, this role conducts quantitative analytics and modeling projects for specific business units or risk types. The work includes developing models, analytical processes, and systems approaches; documenting technical activities; and partnering with Technology staff to design systems that run the models. The position requires broad knowledge of financial markets and products and focuses on credit risk concentration analysis, financial forecasting, and portfolio and capital management. Remote work may be permitted within a commutable distance from the worksite. The position is based at Bank of America Plaza, 540 W Madison St, Chicago, Illinois. It is a first-shift role with 40 hours per week.
Requirements
- Master’s degree or equivalent in Finance, Statistics, Mathematics, or a related field.
- At least 2 years of experience in the job offered or a related quantitative occupation.
- At least 2 years of experience building scalable, production-grade analytical frameworks using Python in large-scale distributed computing environments, Apache Spark, Hadoop/HIVE, SQL, Tableau, and Alteryx, including modular reusable model components and automated end-to-end data processing workflows.
- At least 2 years of experience developing and deploying financial forecasting models, including monitoring routines, performance diagnostics, testing, and investigation of model outputs.
- At least 2 years of experience performing time-series analysis, multivariate regression, and econometric modeling on large financial datasets to identify structural, cyclical, and trend-based risk dynamics.
- At least 2 years of experience applying advanced statistical, econometric, and machine learning techniques to develop quantitative forecasting and risk measurement frameworks supporting enterprise-level portfolio and capital management processes.
- At least 2 years of experience integrating and analyzing diverse financial and alternative datasets, including market activity, firm-level microeconomic indicators, sector performance metrics, consumer behavior trends, and macroeconomic variables, for quantitative risk assessment and concentration analysis.
Responsibilities
- Participate in research, development, and implementation of credit risk concentration models.
- Perform econometric analyses to support methodology development.
- Conduct on-demand analyses of model output and changes.
- Provide ongoing production support for models in use.
- Develop a practical understanding of credit risk trends and concentrations, including counterparty financial performance and industry, country, and single-name concentrations.
- Analyze macroeconomic indicators and recommend key credit portfolio decisions for senior management and Board-level discussions.
- Collaborate with global teams to provide analytical support for leadership decision-making.
- Explore large datasets and identify insights to support portfolio management decisions.
- Perform financial modeling, analysis, and data collection, and interpret market and portfolio information, statistics, and pricing.
- Analyze and evaluate large, complex economic and financial datasets using Python, SQL, and R.
- Use big data technologies, including SQL, to handle large volumes of data produced by complex financial forecasting models.
- Implement advanced, high-performance Python code in Apache Spark and Hadoop/HIVE distributed computing environments to develop scalable, reusable analytical and quantitative models.
- Apply current modeling and data science principles, including time-series analysis and machine learning, to develop loan loss modeling frameworks.
Benefits
- The role is benefits eligible.
- Paid time off.
- Resources and support for employees.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
