Quantitative Analyst with Python Expertise – Associate Director recruitment
These new opportunities are based within the front - office global Quantitative Analytics team and directly face the business. Daily interaction will be with traders, quants and technologists throughout the global bank. The Quantitative Technology team is a global multi-location team.
The role is extremely hands-on and will involve extensive coding and design work across a wide variety of languages and platforms. A critical aspect of the role will be working closely with traders and quants within the organization to develop and refine our quantitative technology strategy. The projects pursued are high-profile and the Quantitative Technology team is keenly considered by senior management to be key to the future of the bank.
Responsibilities will include:
- Working with traders, risk managers and desk quants to understand the technological implications of new businesses, instrument classes, valuation methodologies and risk management mandates
- Work within each respective team to fulfill quant technology analytics requirements
- Quickly assimilating business, analytical and technological information as needed
- Developing tools and applications using advanced computational techniques to optimize and manage our derivatives businesses
- Coordinating efforts with IT and control functions
A Master's level degree in computer science, mathematics, physics, finance, engineering or related field of study
Expert level programming experience in Python, Java, C++, C# (or another object oriented language) in a Windows or UNIX environment; broad general knowledge of data structures, algorithms and modern programming tools and paradigms
Experience with the full SDLC, building code and deployment of large enterprise applications