At Bank of America, the business problem is to help make financial lives better through the power of every connection by driving Responsible Growth and delivering for clients, teammates, communities, and shareholders.
Requirements
- Developing and maintaining large and complex codebases using strong programming and technical skills in Python and database languages including SQL and KDB/Q;
- Researching and modeling of capital market events including hedging and alpha strategies;
- Developing optimization libraries for risk hedging, trade sizing, and expected return maximization;
- Generating required documentation including new user guides, wiki/faq pages and unit testing framework to support model risk management's ongoing model review;
- Performing work to monitor trade volatility and portfolio stress testing to support regulatory and compliance requirements;
- Performing quantitative analysis using large financial datasets to identify current market trends, data engineering and architecture development for daily processes automation, and building visualization tools to interact with data and gather insights.
- Strong programming and technical skills in Python and database languages including SQL and KDB/Q
Responsibilities
- Perform enhancement of pricing and risk models to incorporate new market or products features.
- Conduct quantitative analysis of the current markets trends and trading strategies.
- Perform numerical analysis of existing models and implementation and testing of performance enhancements; Investigate and improve high-frequency algorithmic trading strategies.
- Generate required documentation and testing to support model risk management ongoing model review and validation.
- Work with front office technology teams to integrate models into the trading and risk systems.
- Perform work required to support regulatory and compliance requirements such as Comprehensive Capital Analysis and Review.
- Develop and maintain large and complex codebases using strong programming and technical skills in Python and database languages including SQL and KDB/Q.
Other
- Master's degree or equivalent in Quantitative Finance, Statistics, Computational Finance, Physics, Engineering (any), or related:
- 3 years of experience in the job offered or a related Quantitative occupation.
- Remote work may be permitted within a commutable distance from the worksite.
- 40 Hours Per Week
- 1st shift (United States of America)
