Structured Products Trader: Crypto Volatility & Hedging

BIT Official

Hong Kong

On-site

HKD 1,200,000 - 2,000,000

Full time

2 days ago
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Job summary

BIT is seeking a quantitative trader to own pricing, quoting, market-making and risk management for structured products across digital assets and tokenized equities. You will manage Greeks and dynamic hedging, while driving continuous improvement of pricing models and trading automation.

The role emphasizes volatility trading, inventory control and close collaboration with quant/dev teams to deliver steady P&L within strict risk limits.

Qualifications

  • Master’s degree or higher in a quantitative field.
  • 3+ years trading exotic options/structured products.
  • Strong command of options pricing, Greeks and volatility surfaces.
  • Proficiency in Python for pricing and data analysis; SQL literacy.
  • Fluent in English and Chinese; crypto/US-equity knowledge a plus.

Responsibilities

  • Pricing "Pricing & Quoting" for structured products and real-time quotes.
  • Risk management and hedging including delta/gamma/vega exposures.
  • Volatility trading and alpha generation from vol dynamics.
  • Inventory and market-making with external vendors; hedging costs control.
  • Work with quant/dev to automate pricing and hedging in the trading system.
  • Contribute to design and launch of new tokenized/underlying products.
  • Ensure compliance with risk limits and trade eligibility.

Skills

Fluent English
Fluent Chinese
Decisive under pressure
Collaborative

Education

Master’s degree in Mathematics/Physics/Financial Engineering/Computer Science

Tools

Python
SQL

Job description

BIT is seeking a quantitative trader to own pricing, quoting, market-making and risk management for structured products across digital assets and tokenized equities. You will manage Greeks and dynamic hedging, while driving continuous improvement of pricing models and trading automation.

The role emphasizes volatility trading, inventory control and close collaboration with quant/dev teams to deliver steady P&L within strict risk limits.

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