Credit Quantitative Finance Trading Strategist

Bank of America; London, North East Derbyshire; On-site; GBP 50,000 - 90,000

Job description

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.

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

The Team:

The team is responsible for direct support of traders, control functions, and the FICC Management globally. The team covers development and maintenance of analytical desk tools and pricing models, implementation in the analytics platform as well as their delivery and support across the different desks. The specific role we are looking to fill will be in close interaction with the trading desk and developing tools to maximize trader efficiency.

Job Description:

The role is in the Quantitative Strategies Group (QSG) with a focus on serving the credit desks within the GBAM business. The Global Credit Quantitative Strategies Group has members in London, NY, and Chicago. We support the Credit desks across the Global Markets franchise: AMRS, EMEA, APAC, EM as well as credit product trading across other desks within Global Markets (Mortgages, Rates, XVA, etc.)

Responsibilities:

1. Develop and maintain desk tools in Python/analytics library in C++.
2. Support the trading desk with the use of existing models, developing new strategies.
3. Analysis of large data sets and distilling the information contained within.
4. Developing hedging strategies and backtesting their performance.
5. Work closely with partners from other desks, e.g., XVA.
6. Work closely with the technology team to deliver the analytics and improve performance where necessary.

What we are looking for:

1. A good degree in a highly numerate discipline.
2. Experience in both Python and C++ is highly desirable. As a minimum, experience with object-oriented programming and previous experience in either Python or C++ is required.
3. Knowledge of working within a structured software development environment, including use of source code control systems, continuous integration environments, testing, and release processes.
4. Rigorous problem-solving skills.

Skills that will help:

1. Knowledge of bond and credit derivative products.
2. Understanding of derivatives pricing models and experience with large dataset analysis is desirable.