We are seeking a highly skilled Quantitative Researcher to drive the development and optimization of our options market making and hedging infrastructure. In this role, you will be a key contributor to our Quantitative Trading Division, taking ownership of liquidity provision and dynamic risk management to fuel our continued growth. You will collaborate with Trading, Technology, and Risk Management teams to architect sophisticated pricing and hedging frameworks, and ensure optimal balance between market making profitability and risk exposure control.
Core Responsibilities
- Design options market making quoting logic, optimizing bid-ask spreads to control adverse selection risk and enhance market making returns.
- Develop real-time hedging strategies, managing Delta/Gamma/Vega/Theta exposures to mitigate position risk.
- Research active position management strategies, utilizing Greeks for exposure optimization and arbitrage enhancement, improving portfolio Sharpe ratio.
- Construct real-time risk monitoring dashboards, overseeing comprehensive Greeks exposure and margin risk with 7×24 early warning capabilities.
- Analyze hedging costs and P&L attribution, optimizing hedging frequency and execution algorithms, delivering weekly attribution reports.
- Develop basis management tools, monitoring cross-exchange options and underlying price differentials to capture arbitrage opportunities.
- Process tick-level data, conducting strategy backtesting and quantitative analysis to validate model efficacy.
Qualifications
- Bachelor's degree or above; Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or related fields preferred.
- 2–5 years of quantitative research or options trading experience, with hands-on experience in market making or high-frequency trading teams.
- Experience: Demonstrated track record in exchange API integration (WebSocket/REST), with familiarity with low-latency data capture and order execution workflows.
- Proficiency in Python (Pandas/NumPy), capable of developing efficient real-time data processing and hedging logic.
- In-depth understanding of options pricing theory, with mastery of put-call parity, volatility smile, and comprehensive Greeks risk analysis.
- Tick-level data processing and backtesting capabilities, with ability to independently conduct quantitative strategy validation.
- Intuitive grasp of cross-market arbitrage and liquidity hedging, with ability to rapidly identify pricing anomalies.
- Strong logical reasoning and structured analytical capabilities, with capacity for rapid decision-making under high-pressure environments.
Preferred Qualifications
- Background at leading market makers (Jump Trading, Citadel, Optiver) or quantitative teams at tier-one cryptocurrency exchanges.
- Certification in CFA, FRM, CQF, or equivalent credentials in quantitative finance.
- Track record of building options market making systems from inception or developing complete hedging strategies independently.
- Familiarity with options trading rules and hedging instruments across major exchanges (Deribit, Binance, CME, OKX).
- Proficiency in C++ or Rust for low-latency programming, with high-frequency trading system development experience.