Quantitative Developer - Python

I am currently partnered with a Multi-Strat investment firm that have lead the way for the past 35 years, managing over £70 Billion Aum and processing 12 million trades a day. They are constantly scaling, with a 35% increase for their London presence this year alone.

I am looking for a Quant Developer to join their Equities Post Trade team, developing their mass scale data processing systems that ingest over 100 Billion records at a time.

Responsibilities

• Build and scale mass data processing systems in Python
• Build the infrastructure required for ETL
• Work closely with researchers to develop frameworks and analytics tools
• Back test existing and new risk factor models

Requirements:

• 4+ years of Software Development experience in Finance
• Experience in designing software for mass scale data handling
• Outstanding statistics and algorithm design

Please contact james.griffin@stanfordblack.com for more information