Vice President; Quantitative Finance Analyst

Job Description:

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.

• 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).
• Remote work may be permitted within a commutable distance from the worksite.

• Master's degree or equivalent in Financial Economics, Mathematics, Economics, Statistics, Finance, or related: and
• 3 years of experience in the job offered or a related Quantitative occupation.
• Must include 3 years of experience in each of the following:
• Developing and implementing quantitative models to analyze market behavior, forecast trends, and evaluate economic scenarios;
• Applying statistical and econometric techniques to solve complex problems, validate hypotheses, and support data-driven decision-making;
• Designing and implementing data-driven solutions to manipulate large datasets, automate analytical workflows, and build scalable tools for research and strategy; and,
• Constructing financial and statistical models using transactional-level data to support advanced analytics, optimize decisions, and generate strategic insights.