Trireme is building an institutional-grade digital-asset trading operation across market making, systematic strategies and treasury execution.

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We are looking for a Quantitative Options Trader to develop and operate crypto-options strategies and help build our options trading capability.

This role sits between quantitative research and live trading.

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You will be responsible for identifying, modelling and executing opportunities across crypto-options markets while maintaining disciplined risk management.

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You should understand volatility rather than simply directional trading.

• Research and trade crypto-options strategies.
• Develop and manage volatility-based trading strategies.
• Analyse implied and realised volatility.
• Monitor volatility surfaces, skew and term structure.
• Identify relative-value opportunities.
• Manage delta, gamma, vega and theta exposure.
• Develop hedging frameworks.
• Research volatility risk premium.
• Analyse options flow and positioning.
• Build systematic or semi-systematic trading strategies.
• Work with developers to automate execution and monitoring.
• Define strategy-level risk limits.
• Monitor P&L attribution.
• Conduct scenario and stress testing.
• Manage liquidity, slippage and execution risk.
• Analyse exchange and counterparty exposure.
• Maintain detailed trading and decision logs.
• Continuously evaluate performance and strategy degradation.

Primary focus:

• BTC options.
• ETH options.

Potential expansion into:

• Other liquid digital assets.
• Perpetual futures.
• Futures.
• Spot.
• Structured volatility strategies.

• Professional options trading or derivatives experience.
• Strong understanding of options pricing.
• Deep understanding of volatility.
• Strong grasp of Greeks.
• Ability to manage nonlinear risk.
• Quantitative and analytical mindset.
• Python proficiency.
• Experience building or analysing systematic strategies.
• Strong risk discipline.
• Ability to operate calmly during high-volatility markets.

Experience with:

• Deribit or institutional crypto-options venues.
• Market making.
• Volatility arbitrage.
• Dispersion.
• Calendar spreads.
• Skew trading.
• Gamma scalping.
• Delta hedging.
• Volatility surface modelling.
• Automated execution.
• Portfolio-level derivatives risk.

Candidates should be capable of discussing:

• How they would price an option.
• Drivers of implied volatility.
• Realised versus implied volatility.
• How volatility surfaces change.
• Gamma and vega risk.
• Hedging under stress.
• How liquidity changes around market events.
• When apparently attractive options trades are actually dangerous.
• P&L attribution between delta, gamma, theta and volatility.

Performance will be assessed on:

• Risk-adjusted P&L.
• Drawdown.
• Sharpe and Sortino ratios.
• Volatility-adjusted returns.
• Risk-limit adherence.
• Quality of trade construction.
• P&L attribution.
• Execution quality.
• Strategy scalability.
• Repeatability.
• Quality of risk management during extreme markets.

The mandate is to produce sustainable returns rather than maximise short-term P&L.