Vice President; Quantitative Finance Analyst

Bank of America•Charlotte, NC

About The Position

At Bank of America, the Vice President; Quantitative Finance Analyst conducts research and advanced analytics on FX and Rates markets, focusing on funding strategies and asset and liability management to support risk mitigation and optimize financial performance. The role applies statistical and machine learning methodologies—including time series analysis, volatility modeling, and predictive modeling—to refine models used for strategic decision-making and pricing accuracy. It also develops and implements optimization models for portfolio optimization and risk reduction, including convex and nonconvex techniques, and designs funding and hedging strategies with a focus on accurate transaction execution. The analyst contributes to the desk’s derivative pricing model library by programming and refining statistical and machine learning models, primarily in Python, with an emphasis on scalability, efficiency, and adaptability. Remote work may be permitted within a commutable distance from the worksite. Bank of America describes an in-office culture intended to support collaboration, engagement, and career development, with flexibility based on role responsibilities and business needs.

Requirements

Master’s degree or equivalent in Applied Quantitative Finance, Business Analytics, Statistics, Economics, Finance, or a related field.
Three years of experience in the job offered or a related quantitative occupation; pre- or post-master’s experience is accepted.
Three years of experience collecting, processing, quantitatively analyzing, and validating complex financial datasets.
Three years of experience using programming and data analysis tools to support and enhance repeatable reporting and analytical processes.
Three years of experience applying financial modeling, quantitative methods, and statistical analysis techniques to calculate, analyze, and interpret financial metrics.
Three years of experience maintaining controls and documentation practices to produce standards-aligned outputs for internal and external review.
Three years of experience applying quantitative and statistical analysis to complete projects, work with stakeholders to meet deadlines, and communicate status, findings, and issues to clients and cross-functional partners.

Responsibilities

Conduct in-depth research and advanced analytics on FX and Rates markets, focusing on funding strategies and asset and liability management.
Support risk mitigation and optimize financial performance.
Apply statistical and machine learning methodologies, including time series analysis, volatility modeling, and predictive modeling, to refine models for strategic decision-making and pricing accuracy.
Develop and implement advanced portfolio optimization models, using convex and nonconvex optimization techniques, to optimize trading strategies and minimize overall risk.
Design and execute funding and hedging strategies, focusing on accurate transaction execution.
Program, refine, and expand statistical and machine learning models for the desk’s derivative pricing model library, primarily in Python.
Ensure models are scalable, efficient, and adaptable for future enhancements and implementation.