Quantitative Researcher, Commodities

ResponsibilitiesDevelop 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.QualificationsStrong 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 InformationWhat we offerExperience 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: YesEmployment Type: Full-time#J-18808-Ljbffr