Quantitative Researcher, Commodities

<div><h3>Responsibilities</h3><ul><li>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.</li><li>Run backtesting and spread strategy portfolio optimisations work within the quant team on enriching ML pipeline and statistical tools;</li><li>Analyse historical and live market data to identify opportunities and spread dislocations;</li><li>Tune and debug models under realistic market conditions including bid/ask spreads market noise slipage.</li></ul><h3>Qualifications</h3><ul><li>Strong skills in statistics probability and time-series analysis;</li><li>Background in a top-tier proprietary trading firm or hedge fund is strongly preferred;</li><li>A proven track record in energy commodities (particularly oil&gas);</li><li>Experience in developing and supporting fully systematic trading strategies with holding periods ranging from minutes to a few hours;</li><li>Proficiency in Python C or Rust;</li><li>Solid understanding of market microstructure;</li><li>Strong collaborative spirit work ethic and a determined drive for success; ability to work both independently and as part of a team;</li><li>Strong communication skills with the ability to clearly explain complex ideas.</li></ul><h3>Additional Information</h3><h3>What we offer</h3><ul><li>Experience a modern international technology company without the burden of bureaucracy.</li><li>Collaborate with industry-leading professionals including former employees of Tower DRW Broadridge Credit Suisse and more.</li><li>Enjoy excellent opportunities for professional growth and self-realization.</li><li>Work remotely from anywhere in the world with a flexible schedule.</li><li>Receive compensation for health insurance sports activities and non-professional training.</li></ul><p>Remote Work: Yes</p><p>Employment Type: Full-time</p></div>#J-18808-Ljbffr