Quant Technologist – Global Quantitative Analytics – AD/VP 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

Requirements:

A Master's level degree in computer science, mathematics, physics, finance, engineering or related field of study

Related quantitative technology work experience

Financial industry experience and in-depth familiarity with derivatives products

Expert level programming experience in 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

Preferred Qualifications A PhD in computer science, mathematics, physics, finance, engineering or related field of study

 

Quantitative modeling, pricing and risk management work experience within a variety of fixed income or equity derivatives products

Previous experience implementing enterprise solutions for a quant or a derivative trading team within a major financial services firm