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

4 days left

Recruiter
Oxford Knight
Location
London, United Kingdom
Salary
Competitive
Posted
08 Sep 2022
Closes
08 Oct 2022
Ref
16761974
Job Function
Other
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Job description:

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. Systematic macro trading within equities, FX and futures, they run both intra-day strategies and build HFT strategies to run passively.

Role

They're looking to add exceptional Quantitative Researchers with Python experience to their growing London team. You'll be tasked with discovering systematic anomalies in equity 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 equities)
  • Strong programming skills in Python
  • Advanced degree (MS or PhD) in Physics, Engineering, Statistics, Applied Maths, Quantitative Finance, or other quantitative fields
  • Excellent grasp of the 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


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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