About the role:

We are a digital-asset trading firm specialising in OTC derivatives, structured products, and liquidity solutions. Our core business is pricing and trading vanilla and exotic options on tokens that have no listed options market — serving token projects, funds, miners, and institutional counterparties who need bespoke risk management. All quoting and hedging is algorithmic and automated, and we compete directly with other well known crypto trading firms.

We are looking for a Senior Quantitative Options Trader to own the pricing, risk management, and ongoing improvement of our OTC options book. You will be the firm's primary decision-maker on how we competitively quote covered calls, cash-secured puts, and other structured payoffs to clients — and you will directly oversee the automated trading systems that warehouse and hedge the resulting positions. This is not a seat where you watch screens and click. You will write and refine the models, build the tools, and set the parameters that drive every quote and every hedge.

Responsibilities:

📍Design, calibrate, and continuously improve the quantitative models used to price options on tokens with no listed options market — including implied-vol surface construction, and tail-risk adjustments specific to crypto. 📍Set competitive two-way pricing for covered calls, cash-secured puts, collars, and bespoke structures for OTC clients (token treasuries, funds, miners). 📍Own the spread, skew, and term-structure assumptions embedded in every client quote — balancing competitiveness against risk appetite. 📍Oversee the firm's aggregate options book — monitor Greeks (delta, gamma, vega, theta, rho) in real time and ensure automated hedging is performing within defined tolerances. 📍Define and tune hedging strategies for illiquid underlyings: dynamic delta hedging, cross-asset proxy hedging, and inventory management across spot and perpetual-futures venues. 📍Stress-test the portfolio against liquidity dry-ups, and extreme vol regimes; propose and implement risk limits. 📍Write production-quality code (Python, Rust, or C++) that powers quoting engines, hedging algorithms, and risk dashboards. 📍Collaborate with engineering to improve execution infrastructure — smart order routing, latency optimisation, and exchange connectivity. 📍Build monitoring, alerting, and analytics tools to track PnL attribution, fill quality, and model performance. 📍Identify new products and structures to offer clients — e.g., barrier options, variance swaps, accumulator/decumulator notes — and develop pricing and hedging frameworks for them. 📍Contribute to commercial discussions with large counterparties; translate complex risk into clear, client-friendly language. 📍Monitor the competitive landscape (pricing, spreads, product range) and ensure the firm's offering stays best-in-class.

Requirements:

📍7+ years of experience in options trading, market-making, or quantitative trading — ideally on a volatility or exotic-options desk (crypto, FX, equities, or commodities). 📍Deep understanding of options pricing theory: Black-Scholes, local/stochastic vol models (Heston, SABR), Monte Carlo methods, and Greeks sensitivity analysis. 📍Practical experience pricing vol in illiquid or OTC markets where you cannot simply read an exchange screen — you have built vol surfaces from sparse data, dealer quotes, or proxy relationships. 📍Strong programming skills in Python (minimum) with production-level code quality; bonus for Rust, C++, or similar systems languages. 📍Hands-on experience with automated or algorithmic trading systems — you have written or meaningfully contributed to quoting engines, hedgers, or execution algos. 📍Solid grasp of crypto market microstructure: CEX/DEX venue dynamics, perpetual-futures funding mechanics, basis trading, and on-chain settlement considerations. 📍Rigorous quantitative background: degree in mathematics, physics, computer science, financial engineering, or a related quantitative discipline.

Nice-to-have: 📍Prior experience at a crypto OTC desk, market-making firm, or prop trading firm active in digital assets. 📍Track record structuring and hedging exotic or path-dependent options. 📍Familiarity with DeFi protocols relevant to hedging or liquidity (on-chain options protocols, AMMs, lending markets). 📍Experience with Rust or low-latency systems development. 📍Existing relationships or reputation in the institutional crypto trading ecosystem.

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