Volatility Quant & Trading Analytics – Junior Role

Eclipse Trading

Hong Kong

On-site

HKD 900,000 - 1,200,000

Full time

7 hours ago
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Job summary

Eclipse Trading in Hong Kong is seeking a sharp, data-driven quant analyst to work alongside traders and quants, turning market intuition into production-ready algorithms. You will codify research into scalable models and deploy them to enhance our volatility strategies on a global desk.

The ideal candidate has 1–3 years of hands-on experience on a high- to mid-frequency volatility desk, strong Python skills and a solid quantitative or engineering background. English proficiency is essential.

Qualifications

  • 1–3 years of hands-on experience on a volatility trading desk (high to mid frequency).
  • Experience with parametric volatility models: smile decomposition, spot–volatility correlation, and bias/arbitrage-free shapes.
  • Experience working with traders on optimizing and backtesting options portfolios/strategies.
  • Strong command of written and spoken English.
  • A solid quantitative or engineering academic background.

Responsibilities

  • Perform quantitative analysis on the market to improve existing trading strategies and develop new ones.
  • Work with traders and quants to identify technical trading problems, conduct detailed research and deliver mathematical solutions.
  • Derive fair value and price sensitivity of financial instruments based on mathematical theory and statistical models.
  • Design and deploy automation tools to improve trading.

Skills

Python
Data analysis
Volatility models
Quantitative analysis
English proficiency
Backtesting

Education

Quantitative or engineering degree

Job description

Eclipse Trading in Hong Kong is seeking a sharp, data-driven quant analyst to work alongside traders and quants, turning market intuition into production-ready algorithms. You will codify research into scalable models and deploy them to enhance our volatility strategies on a global desk.

The ideal candidate has 1–3 years of hands-on experience on a high- to mid-frequency volatility desk, strong Python skills and a solid quantitative or engineering background. English proficiency is essential.

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