VP, Muni Quant Developer

About the role

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We drive Responsible Growth and deliver for our clients, teammates, communities, and shareholders every day. This role is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types, including developing new models, analytic processes, or systems approaches, creating technical documentation, and collaborating with Technology staff in the design of systems to run models developed. A broad knowledge of financial markets and products is expected.

Responsibilities

• Design, build, and maintain quantitative models and electronic trading solutions supporting Municipal bond market making, pricing, execution, inventory management, and risk management.
• Develop robust monitoring, alerting, and operational tooling to ensure platform reliability and performance.
• Employ comprehensive unit, integration, regression, and performance testing strategies.
• Support production incidents, investigate trading system behavior, and drive root-cause analysis and remediation.
• Perform statistical analysis on large datasets and interpret results using both qualitative and quantitative approaches.
• Identify continuous improvements through reviews of ongoing model and algorithm behavior.
• Work with the Muni business to research, design, and build trading models and electronic systems for pricing, electronic market making, and automatic risk management for the Muni trading desks.
• Operate in close cooperation with partners in Trading and Technology, as well as other lines of business across FICC.

Qualifications

• Academic background at undergraduate or, ideally, Masters/PhD level in a quantitative subject (Mathematics, Statistics, Physics, Engineering, Computer Science, or other analytical background) or related work experience.
• Financial markets experience.
• Experience in quantitative modeling and working with large datasets.

Skills

• Experience in designing and building production trading systems and knowledge of underlying trading infrastructure, with an emphasis on distributed, low-latency, high-availability systems, including pricing and risk management, trade & order lifecycle management, and algorithmic execution.
• Exceptional development skills in Java and Python with experience working on multi-threaded programming and dependency injection frameworks like Google Guice or Spring.

Schedule

1st shift (United States of America), 40 hours per week.