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Python Quantitative Researcher - FX- Multi-Asset Class Systematic Trading

Oxford KnightLondon🇬🇧United Kingdom

Why this role stands out

This hybrid role offers an exceptional opportunity to drive innovation in systematic trading, with a highly competitive compensation package of £600k-£1 million annually. You'll thrive here if you're a Python-savvy quantitative researcher with a strong academic background, eager to develop cutting-edge strategies and gain significant project ownership within a collaborative, growth-oriented environment. Apply to make a substantial impact in FX and multi-asset class systematic trading.

Quick overview

Salary£600k - £1000k/yr
SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationLondon, United Kingdom
LinearPython

Job description

Salary: total comp can hit £600k-£1 million a year
Client
Research at this leading investment firm is key to continued success: based on rigorous and innovative research, they design and implement systematic, computer-driven trading strategies across multiple liquid asset classes.
Working within a small 'trading pod' as the right-hand person to the Portfolio Manager, you will do systematic macro trading within FX, running both intra-day strategies and building HFT strategies to run passively.
Role
They're looking to add an exceptional Quantitative Researcher with Python experience to their growing London team. You'll be tasked with discovering systematic anomalies in FX markets and identifying & evaluating new datasets. You'll also take on end-to-end development: from generating alpha ideas to strategy backtesting and optimization, through to production implementation.
With lots of project ownership and a collaborative start-up environment, this is a fantastic place to work.
Requirements:
  • 3+ years' experience in a similar role (e.g. systematic alpha research in FX)
  • Strong programming skills Python
  • Advanced degree (MS or PhD) in Maths, or other quantitative fields, from a leading university
  • Excellent grasp of foundations of applied statistics, linear algebra and time series models

Desirable:
  • Experience developing short-term alpha signals
  • Demonstrated proficiency with large, raw data sources

Benefits:
  • Market-leading base + bonuses + generous benefits
  • Meritocratic environment working with some of the smartest minds in industry
  • Excellent professional development (tuition assistance)
  • Plenty of opportunity to give back through volunteering & charity work
  • Flexible hybrid working model

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If you feel you're suitable for this role, want to hear about similar positions, or would like help hiring similar developers for your company, please send your CV or get in touch.
Richard Allan
richard.allan@oxfordknight.co.uk
020 3137 9574
linkedin.com/in/richardallanok/

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