Quant Developer - Risk Technology

Quant Developer – Risk Technology
Expected total: £180,000
Mayfair

Quant Capital is urgently looking for a Quant Developer to a high profile global quantitative hedgefund client.

Our client is a well-known Quantitative hedgefund, they are committed to leveraging innovations in technology and data science to solve complex problems.

This I a new expansionary role in London due to an increase in quantitative commodities, Fixed Income (and a small amount of equities) trading, the role sits in a new London based global Risk Technology team being assembled to build out next generation risk tools.
This opportunity provides excellent growth opportunities and a fast-paced dynamic environment.
The Quant will:

• Work closely with the researchers, risk managers and other technologists in Europe and New York.
• Help develop multi-asset analytics, stress and VaR for the in-house risk platform.
• Develop models to compute new analytics in collaboration with the head of portfolio research
The successful quants will be interested in working within an innovative and entrepreneurial environment, where they will be expected to be involved in all aspects of trading and risk.

Quant Developer MUST have:

 PhD or MSc in an advanced scientific field
 A minimum of 3 years of front office quantitative experience across fixed income and equites asset classes as a minimum
 Experience with fundamental equity risk models
 A solid grounding in C++, Python or Java.
 Good knowledge of software design including algorithms and object oriented design
 Strong communication skills required as this role involved direct communication with risk management and trading
 Applicant should have a demonstrated track record of success in challenging environments

This is a unique company that allows freedom in the quantitative area. My client offers a personal training budget per person as well as a bonus. Bupa, Pension and travel loan make up an excellent benefits package.
My client is based in London
Quant Analyst, Quantitative