VP; Quantitative Finance Analyst
About The Position
At Bank of America, the Quantitative Finance Analyst provides analytical support for product strategies and helps ensure company goals are met. The role coordinates performance reporting for senior management and reviews population-distribution trends to recommend strategies. It develops or participates in complex program models, extracting data and using databases for statistical and financial modeling. The analyst evaluates residential mortgage portfolio trends, including credit score cutoffs, loss trends, portfolio dynamics, and bureau scoring criteria. The role contributes to company-wide pilot program rollouts and designs analytical tools to support stakeholder and senior-manager discussions about the residential mortgage portfolio. It also performs advanced risk-management analytics, communicating findings and educating others through reports and presentations. The position involves explanatory data analysis, developing and testing hypotheses, analyzing historical data, and identifying patterns with Hadoop, Spark, and Trino. Remote work may be permitted within a commutable distance from the worksite; Bank of America describes its workplace approach as an in-office culture with role-specific flexibility. The position is based at Bank of America Plaza in Chicago, Illinois, and is a 40-hour-per-week, first-shift role.
Requirements
- Master's degree or equivalent in Economics, Statistics, Business Administration, or a related field.
- Three years of experience in the job offered or a related quantitative occupation.
- Three years of experience analyzing and assessing large, complex financial datasets with Python, SAS, SQL, and R.
- Three years of experience developing and analyzing statistical models, including linear regression, autoregression, or logistic regression, to assess model diagnostics and performance.
- Three years of experience using SQL big-data technologies to handle large volumes of data produced by complex financial forecasting models.
- Three years of experience evaluating quantitative modeling and analytics projects in risk analytics and loss forecasting using R, Python, and C++.
- Three years of experience generating statistical analysis to support stress testing, credit risk management, and regulatory examinations.
Responsibilities
- Provide analytical support on product strategies to help meet company goals.
- Coordinate production of performance reports for senior management.
- Review and analyze trends in current population distributions and recommend strategies.
- Participate in or develop complex program models to extract data and use databases for statistical and financial modeling.
- Analyze portfolio trends concerning credit score cutoffs, loss trends, portfolio dynamics, and bureau scoring criteria.
- Participate in rollout of company-wide pilot programs developed from programmed models.
- Design and implement analytical tools to support discussions about the residential mortgage portfolio with stakeholders and senior manager leads.
- Perform advanced business analytics in risk management of the residential mortgage portfolio, communicating results and educating others through reports and presentations.
- Conduct explanatory data analyses, generate and test working hypotheses, analyze historical data, and identify patterns using Hadoop, Spark, and Trino.
Benefits
- Industry-leading benefits
- Access to paid time off
- Resources and support for employees
- Annual discretionary incentive plan eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Senior
