We are a prop-trading company that combines the agility of a startup with the resources of a high-performing fund. Our team is focused on developing cutting-edge strategies, and working with us means not just advancing technology, but also being part of a team where ideas are valued, professional growth is encouraged, and every member has the opportunity to unlock their full potential. We are seeking an experienced Options Trader with a strong background in commodities, particularly metals and alternative assets. What You'll Be Doing:
Designing and implementing options strategies on commodities and alternative assets, including spreads, volatility structures, and bespoke hedging constructionsInvestigating pricing anomalies and volatility shifts, and developing unconventional exposures and actionable ideas via listed and OTC instrumentsBuilding internal libraries for Greeks analysis, options portfolio modeling, stress testing, and scenario analysisGuiding junior quant researchers and serving as a mentor on complex derivatives trading topicsMonitoring global developments in metallurgy, commodity supply chains, and related macro factors — including demand/supply, regulatory changes, and moreRequirementsExperience: 7+ years in commodity trading, options trading, or structured products. Experience working with precious/industrial metals and alternative commodities (e. g.
uranium, carbon credits). Proven track record in developing non-standard hedging strategies or alpha-generating structures. Close collaboration with risk and compliance teams to build non-vanilla exposures. Skills & Education: Deep knowledge of option theory: volatility surfaces, exotic options, stochastic volatility models. Solid understanding of commodity pricing mechanics, seasonality, storage dynamics, and term structure. Ability to construct and analyze option strategies such as butterflies, risk reversals, and term spreads. Hands-on experience with volatility modeling: SABR, Heston, local volatility models. Proficiency with tools such as Bloomberg/Reuters, Python, etc. Strong skills in risk and Greeks management, live PnL attribution, and scenario analysis.
Master's degree or PhD in a quantitative field (Physics, Mathematics, Computer Science, or a related discipline). Language: Russian, EnglishNice to have: Experience with C++ or Rust. Knowledge of ML/DL/RL (Machine Learning, Deep Learning, Reinforcement Learning). Ability to communicate technical ideas clearly to both technical and non-technical stakeholders. Benefits Culture of Innovation: An open, dynamic, and inclusive environment where your ideas matter Flexibility & Impact: Enjoy the freedom of a startup with the backing of a well-resourced fund High Impact:
Work directly on projects that shape strategies and drive the fund's success 35 Days of Vacation - Plenty of time to rest and recharge 100% Paid Sick Leave - Recover without financial worries Top-Tier Equipment - Choose the tools that suit you best (within budget) Corporate Psychologist - Mental health support when you need it
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