Vice President; Quantitative Finance Analyst

Bank Of America Quantitative Analyst

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.

Responsibilities:

• Research and apply quantitative techniques in finance, applied mathematics, and computer science to solve market-driven pricing and risk management problems.
• Refine and extend the Quantitative Finance ("QF") C++ and Python pricing libraries to ensure accuracy, efficiency, and robustness.
• Troubleshoot issues that arise in the overnight process for valuing the MSR Asset and Hedge Asset portfolios.
• Participate in code reviews to ensure high-quality coding standards are maintained in our pricing libraries.
• Collaborate with Model Risk Management operations to test model implementations and to document model details per Bank standards.
• Research methods of extending the QF group of models to refine and improving ability to serve the overall Treasury group.
• Remote work may be permitted within a commutable distance from the worksite.

Required Skills & Experience:

• Master's degree or equivalent in Quantitative & Computational Finance, Applied mathematics, Statistics, Finance, or related: and
• 2 years of experience in the job offered or a related Quantitative occupation.
• Must include 2 years of experience in each of the following:
• Developing and utilizing financial models and their extensions, including stochastic and statistical modeling theory;
• Designing and implementing object-oriented programming techniques in the construction of analytics libraries;
• Conducting model calibration with respect to optimization theory;
• Using backward pricing for financial products and derivatives, such as fixed income and mortgage products; and,
• Performing risk analysis and attributing for modeling results.