
Options Trader (Metals, Alternatives, Senior) at ALT Fund. 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 constructions.. . Investigating pricing anomalies and volatility shifts, and developing unconventional exposures and actionable ideas via listed and OTC instruments.. . Building internal libraries for Greeks analysis, options portfolio modeling, stress testing, and scenario analysis.. . Guiding junior quant researchers and serving as a mentor on complex derivatives trading topics.. . Monitoring global developments in metallurgy, commodity supply chains, and related macro factors — including demand/supply, regulatory changes, and more.. . Experience:. . 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, English.. . Nice 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. . . Company Location: Estonia.