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Credit Quant Analyst, Associate/Vice President, Quantitative Strategies Group

Bank of America

Bank of America

IT
Posted on Friday, July 5, 2024

Job Description:

The Team:

The individual will be part of the Global Credit Quantitative Strategies Group, with members in London, NY and Chicago, supporting 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)

The Role:

A focus on serving the credit desks (EM, bonds, derivatives, structured products) within the GBAM business. Working as part of a team responsible for direct support of traders, control functions and the FICC Management globally. This includes 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 individual will work closely with the trading desk to develop tools to maximize trader efficiency.

Responsibilities:

  • Develop and maintain desk tools in Python
  • Develop the analytics library in C++
  • Support the trading desk with use of existing models, developing new strategies
  • Analysis of large data sets and distilling the information contained within
  • Developing hedging strategies and back testing their performance
  • Work closely with partners from other desks, XVA
  • Work closely with the technology team in order to deliver the analytics as well as improve performance where necessary

What we are looking for:

  • A degree in a highly numerate discipline
  • Experienced in both Python and C++ is highly desirable. As a minimum experience with object-orientated programming and previous experience in either Python or C++ is required.
  • Knowledge of working within a structured software development environment. Use of source code-control systems, continuous integration environments, testing, release processes, Rigorous problem-solving skills.

Skills that will help:

  • Knowledge of bond and credit derivative products, understanding of derivatives pricing models. Experience with large dataset analysis is desirable.