Assistant Vice President; Quantitative Finance Analyst

Bank of AmericaAtlanta, GA
Hybrid

About The Position

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! 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 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.
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