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 is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description Summary

 

Responsible for designing trading system architecture in collaboration with Technology teams, and developing quantitative and algorithmic trading applications.

Incumbents possess excellent quantitative/analytic and coding skills, and a broad knowledge of financial markets and products.

Job Description:
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.

Within the FICC Quantitative Strategies and Data Group is our Global Rates Electronic Trading Strats team, one of the fastest growing and dynamic areas at Bank of America. The Global Rates team is a growing and ambitious organisation, and eTrading continues to be recognized as a focus of future investment and a driver of innovation.

Responsibilities:

Responsibilities of this role include working with Global Rates business to research, design and build the trading models and electronic systems for pricing, electronic market making and automatic risk management for the Rates trading desks. This role operates in close co-operation with our partners in Trading, Sales and Technology as well as other lines of business across FICC.

Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers

Supports the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritizationIdentifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validationSupports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetiteSupports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential riskWorks closely with model stakeholders and senior management with regard to communication of submission and validation outcomesPerforms statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

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, algorithmic executionExceptional development skills in Java with experience working on multi-threaded programming and dependency injection frameworks like Google Guice or SpringAcademic background at undergraduate or, ideally, Masters/PhD level in a quantitative subject (Mathematics, Statistics, Physics, Engineering, Computer Science or other analytical background)Financial markets experienceExperience in quantitative modelling and working with large datasets

Minimum Education Requirement: Master’s degree in related field or equivalent work experience

Shift:

1st shift (United States of America)

Hours Per Week: 

40