Assistant Vice President; Quantitative Finance Analyst

Bank of America•Atlanta, GA

3d•Hybrid

About The Position

This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

Requirements

Master's degree or equivalent in Quantitative and Computational Finance, Mathematical Finance, Mathematics, Statistics, Operations Research, or related: and 2 years of experience in the job offered or a related Quantitative occupation.
2 years of experience in conducting model research and development with a focus on quantitative finance, financial engineering, and mathematical optimization.
2 years of experience in performing data analytics and developing reporting tools using R (Rmarkdown, dplyr, shiny, plotly) and python (pandas, numpy, etc.).
2 years of experience in designing and enhancing end-to-end software applications using python, R, and SQL.
2 years of experience in writing modular, production-quality, and unit-tested code, in a collaborative and controlled environment using Jira, Microsoft Azure, or GitHub.
2 years of experience in using Linux OS, including operating effectively on the command line interface (bash).

Responsibilities

Apply quantitative models and techniques in order to address and resolve concrete financial problems.
Work closely with lines of business to understand models/applications/processes requirements.
Build and maintain models and processes specific to banking and Treasury: balance sheet management, liquidity, capital risk, etc.
Utilize advanced quantitative techniques, such as statistical analysis, predictive modeling, linear regressions, mathematical optimization.
Develop and maintain statistical frameworks and attribution techniques to explain changes in bank deposits EVE and Net Interest Income forecasts.
Maintain interestrate risk models and analytics for the management of marked-to-market portfolios.