VP, Cross Asset Quant Developer
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 an 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: 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. We are seeking a highly skilled and innovative strategist / technologist to join our dynamic cross asset strategy team. Our team writes programs in Python that run on the Bank’s strategic platform, Quartz, to answer questions that relate to the entire global markets trading business. We work outside of the traditional IT organization, based on the trading floor in New York. Responsibilities:
- You will be assisting the Cross Assets Strats team as part of the Strategic Risk and PnL project to re-factor and redesign our market model code.
- This project seeks to explain the risk and PnL of the Global Markets business in a strategic fashion
- Working as part of a team of 8 people, you will be writing and debugging code in Python, running within Quartz, the in-house bank platform.
- On-going learning about and debugging existing market model code used for calculating risk and PnL, simplifying and optimizing it to perform more efficiently.
- Programming ability is most highly prized. Financial knowledge is desirable but not strictly necessary, provided there is a willingness to learn.
What We Are Looking For
- Strong programming skills and comfort working across multiple programming languages and paradigms
- Experience writing a scripting language—or a clear understanding of how to build one
- Appreciation for functional programming concepts and ability to design algorithms in a functional style
- Strong mathematical abilities with an interest in applying mathematical techniques to data analysis
- Existing financial and quantitative knowledge, with a desire to deepen expertise
Key Requirements
- Proficiency in Python, C++, Java, Lisp, or similar programming languages
- Excellent analytical and problem-solving skills
- Strong communication skills
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Finance, or equivalent work experience
Minimum Education Requirement: Master’s degree in related field or equivalent work experience Shift: 1st shift (United States of America) Hours Per Week: 40 Apply tot his job Apply To this Job