Vice President; Quantitative Finance Analyst

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 (e.g., financial performance of counterparties), concentrations (industry, country, and single-name).
• Analyze macroeconomic indicators and recommend key credit portfolio decisions for senior management and Boardlevel discussions.
• Collaborate with global teams to provide analytical support for leadership decision-making.
• Perform data exploration analyses on large datasets and pull insights to support portfolio management decisions.
• Perform financial modeling, analysis, and data collection, as well as interpret market and portfolio information, statistics, and pricing.
• Analyze and evaluate large and complex economic and financial datasets using analytical tools such as Python, SQL, and R.
• Use big data technologies like SQL to handle large volumes of data produced by complex financial forecasting models.
• Implement advanced high-performance Python code for large-scale distributed computing environments in Apache Spark and Hadoop/HIVE to develop scalable, reusable analytical and quantitative models.
• Utilize current modeling and data science principles, including time-series analysis and machine learning, to develop loan loss modeling frameworks.
• Remote work may be permitted within a commutable distance from the worksite.
• Required Skills & Experience:
• Master's degree or equivalent in Finance, Statistics, Mathematics, or related: and
• 2 years of experience in the job offered or a related Quantitative occupation.
• Must include 2 years of experience in each of the following:
• Building scalable, production-grade analytical framework using Python large-scale distributed computing environments in Apache Spark and Hadoop/HIVE, SQL, Tableau, Alteryx including development of modular, reusable model components and automation of end-to-end data processing workflow;
• Developing and deploying financial forecasting models including implementation of monitoring routine, performance diagnostics, testing, and investigation of model outputs;
• Performing time-series analysis, multivariate regression, and econometric modeling on large financial datasets to identify structural, cyclical, and trend-based risk dynamics;
• Applying advanced statistical, econometric, and machine learning techniques to develop quantitative forecasting and risk measurement frameworks supporting enterprise-level portfolio and capital management processes; and,
• Integrating and analyzing diverse financial and alternative datasets—including market activity, firm level microeconomic indicators, sector performance metrics, consumer behavior trends, and macroeconomic variables—to support advanced quantitative risk assessment and concentration analysis.
• If interested apply online at www.bankofamerica.com/careers or email your resume to [email protected] and reference the job title of the role and requisition number.
• EMPLOYER: Bank of America N.A.
• Shift:
• 1st shift (United States of America)
• Hours Per Week:
• 40
• Pay Transparency details
• US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)
• Pay and benefits information
• Pay range
• annualized salary, offers to be determined based on experience, education and skill set.
• Benefits
• This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.