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Established since 2018 by two reputable former equity derivatives traders in London. The client is looking for a quant analyst for their greenfield project to lead the development of their cryptocurrency infrastructure. The company is backed by leading international venture capital firms and strategic investors.
Take full ownership for the derivatives valuation models. This includes developing and maintaining volatility models suitable to the highly volatile nature of cryptocurrencies.
Design the risk management model underlying the firm's cryptocurrency derivatives trading platform, using advanced data analysis, backtesting and simulation techniques, to develop a robust and commercially viable margining framework in order to improve customers' trading experience.
Work with the engineering team to deploy this margining framework into production.
Lead the quantitative research effort on global cryptocurrency trading market microstructure.
Key Technical Skills
Masters or Doctorate degree in finance, physics, mathematics, computer science, engineering or related
1+ years hands-on quantitative analyst experience at a bulge bracket investment bank or quantitative hedge fund
High proficiency in Python, Java or C++
Ability to document any model development in a clear way
Ability to work in a fast-paced environment and to learn new concepts quickly
Strong understanding of quantitative research and quantitative methods including non-stationary statistics, time series analysis, factor models, dimension reduction, discrete and continuous optimization, and machine learning techniques.
Fluent in English, with great communication and presentation skills
Other Preferred Skills
Knowledge of options modelling and cryptocurrencies a plus but not necessary.