Quantitative Analyst (Options)

Crypto; Hong Kong; On-site; HKD 600,000 - 800,000; Full time

Job summary

Crypto is seeking a Quantitative Analyst to join their Trading Team in Hong Kong. The successful candidate will focus on enhancing pricing models and trading strategies, acting as the quantitative backbone for traders.

The role involves implementing stochastic volatility models, backtesting strategies, and developing tools for trade analysis. A Master’s or PhD in a quantitative field is required, along with solid experience in options and Python.

Qualifications

• Master’s or PhD in a quantitative field (Mathematics, Physics, Financial Engineering, Computer Science) from a top-tier university.
• Proven quant experience, preferably in options market-making or derivatives prop trading.
• Strong communication skills to bridge traders and developers.

Responsibilities

• Improve volatility surface construction and implement stochastic volatility models.
• Partner with traders to prototype and backtest new strategies using historical data.
• Own quantitative projects end-to-end from Python research to production with developers.

Skills

Data analysis

Statistical modeling

Python

C++

Option pricing models

Education

Master’s or PhD in a quantitative field

Tools

Git

Job description

The Team

We are seeking a Quantitative Analyst to join our Trading Team. The team is responsible for market making and proprietary trading across options, structured products, and delta one products.

The Role

Front‑office quant role dedicated to the options trading desk. Drive quantitative projects to enhance pricing models, risk management, trading strategies, and booking/settlement workflows. Act as the quantitative backbone for traders, ensuring accurate volatility fitting and robust backtesting, while providing technical guidance to developers.

Responsibilities

• Model Implementation & Volatility Fitting: Improve volatility surface construction. Research and implement stochastic volatility models for accurate pricing and risk.
• Strategy Backtesting & Development: Partner with traders to prototype and backtest new strategies. Analyze historical data to identify patterns and inefficiencies.
• Project Management: Own quantitative projects end‑to‑end—from Python research and prototyping to productionization with developers (C++).
• Tool Development: Build trade analysis tools, scenario simulators, and real‑time risk dashboards.
• Collaboration: Bridge the gap between traders and developers. Translate trader needs into technical specs and ensure timely delivery.
• Post‑Trade Analysis: Perform deep‑dive P&L and Greek exposure analysis. Explain performance and suggest improvements.

Qualifications

• Master’s or PhD in a quantitative field (Mathematics, Physics, Financial Engineering, Computer Science) from a top‑tier university.
• Proven quant experience, preferably in an options market‑making or derivatives prop trading firm.
• Track record working with options theory and volatility trading.
• Python is a must; Expert in data analysis, statistical modeling, and prototyping.
• C++ is a strong plus; Experience with low‑latency production code or close collaboration with C++ developers.
• Familiarity with Git and collaborative coding.
• Deep understanding of option pricing models (Black‑Scholes, local vol, stochastic vol), Greeks, volatility surfaces, and common trading strategies.
• Self‑starter who drives projects independently. Strong communication skills to bridge traders and developers. Acute attention to detail and rigorous approach to data validation.