- Develop HFT and MFT trading strategies on CME and ICE commodities inter- and intra-spread markets focused on volume and P&L via our prop. trading platform.
- Run backtesting and spread strategy portfolio optimisations work within the quant team on enriching ML pipeline and statistical tools;
- Analyse historical and live market data to identify opportunities and spread dislocations;
- Tune and debug models under realistic market conditions including bid/ask spreads market noise slipage.
Qualifications :
- Strong skills in statistics probability and time-series analysis;
- Background in a top-tier proprietary trading firm or hedge fund is strongly preferred;
- A proven track record in energy commodities (particularly oil & gas);
- Experience in developing and supporting fully systematic trading strategies with holding periods ranging from minutes to a few hours;
- Proficiency in Python C or Rust;
- Solid understanding of market microstructure;
- Strong collaborative spirit work ethic and a determined drive for success; ability to work both independently and as part of a team;
- Strong communication skills with the ability to clearly explain complex ideas.
Additional Information :
What we offer:
- Experience a modern international technology company without the burden of bureaucracy.
- Collaborate with industry-leading professionals including former employees of Tower DRW Broadridge Credit Suisse and more.
- Enjoy excellent opportunities for professional growth and self-realization.
- Work remotely from anywhere in the world with a flexible schedule.
- Receive compensation for health insurance sports activities and non-professional training.
Remote Work :
Yes
Employment Type :
Full-time
Key Skills Intelligence Community Experience,Python,Spss,Microsoft Word,R,Regression Analysis,Windows,Stata,Microsoft Powerpoint,Research Experience,Data Modeling,Writing Skills
Experience: years
Vacancy: 1
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