Vice President; Structurer

Bank of America • New York, NY

8d • $225,000 - $235,000 • Onsite

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 financial and statistical analysis, developing client presentations, and structuring and execution activities. Key responsibilities include developing and implementing structured financial products and solutions to meet client needs and optimizing the Bank's market exposure and profitability. Job expectations include liaising with various teams and analyzing and managing risk associated with structured products to ensure compliance with regulatory requirements and bank policies.

Requirements

• Master's degree or equivalent in Finance, Economics, Statistics, Mathematics, or related: and 3 years of experience in the job offered or a related Quantitative occupation.
• Must include 3 years of experience in applying advanced quantitative methods, including Monte Carlo simulations and stochastic modeling, to price complex equity derivatives including Autocallables under varying market conditions, leveraging tools including Bloomberg Terminal/API, NumPy, Pandas, and Excel.
• Must include 3 years of experience in developing and deploying production-grade Python applications (using VSCode / PyCharm) to automate pricing workflows, risk analysis, and trade reporting for large-scale data sets on Linux servers, incorporating asynchronous programming (Asyncio) for performance optimization.
• Must include 3 years of experience in designing and calibrating volatility surfaces and correlation structures for exotic options pricing models, ensuring accurate sensitivity analysis (Greeks) and scenario testing, with SciPy, Excel, and proprietary pricing engines.
• Must include 3 years of experience in integrating pricing engines with data visualization frameworks (e.g., Dash, Plotly) to deliver interactive analytics and real-time trade monitoring tools connected to internal data feeds.
• Must include 3 years of experience in implementing robust model validation processes, including back-testing and stress-testing, to comply with internal risk management and regulatory standards, using internal validation frameworks, Excel, and Office Suite for reporting and documentation.

Responsibilities

• Design and implement advanced pricing solutions for equity exotic derivatives.
• Develop and maintain proprietary pricing models leveraging stochastic processes to ensure accurate valuation under complex market conditions.
• Build and optimize internal software tools for trade lifecycle automation, including pricing engines, risk analytics, and scenario analysis frameworks.
• Integrate quantitative models with data visualization platforms to enhance decisionmaking for trading desks.
• Collaborate with validation teams to test, monitor, and calibrate pricing algorithms in compliance with regulatory and internal standards.
• Provide quantitative expertise to support structuring, trading, and risk management functions across multiple business lines.
• Drive innovation by automating reporting workflows and developing APIs for seamless integration between pricing systems and enterprise data sources.

Benefits

• Access to paid time off
• Resources and support to our employees
• Discretionary incentive eligible
• Annual discretionary award based on individual performance, line of business performance, and overall company success.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive