Derivatives Quant Data Engineer – Investment Management

£200k Total Comp

Hybrid

Quant Capital is urgently looking for a Python Data Developer to join our high profile client.

Our client is a well known Systematic Trading Hedge Fund. They like technology especially the opensource variety as well as scalability and robust performance (much like their track record). They currently run around £2 billion in liquid capital.

This is an environment of google or a startup where tech is number 1 the firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.

The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.

Day to Day the Derivatives Quant Data Engineer will:

• Work closely with Data engineering and Quant Research acting as a go between
• Calculation of asset returns through modelling and extraction of pricing from market data sources
• Support and monitor the end-to-end lifecycle, including fixing errors and building out further functionality.
• Assist ingestion of external data that will result in seamless integration of internal and external data sources.

The Derivatives Quant Data Engineer Must have:

• MSc or PhD Computer Science, Maths, Physics or Chemistry degree from a Red Brick UK or EU University
• Must have experience in Trading or Investment management
• Recent experience on the buy side
• Strong market data source knowledge
• Python
• Strong Derivatives experience to include modelling
• Strong financial products knowledge
• Bloomberg
• An Understanding of computing fundamentals, object orientated programming, threading, concurrency and distributed systems

My client is based in Central London Hybrid.