Quantitative Volatility Trader
Xantium
Quantitative Volatility Trader
Xantium
Global multi-strategy quantitative investment research
Quantitative Volatility Traders (QVTs) collaborate with developers and researchers to implement Xantium's derivatives trading strategies. Their roles require established Python coding skills, strong mental math, and developed market intuition.
Initial responsibilities include trading system monitoring and improvement; some roles also involve individual trade execution and support. Over time and with guidance from senior team members, all QVTs grow to better understand how the range of Xantium’s volatility strategies are developed and optimized.
We are seeking multiple QVTs for a rapidly growing team. At this time, candidates with derivatives experience in the following underlying asset types are particularly attractive: equities (single name and index), commodities, and fixed income.
All applicants should have:
Compensation: Quantitative Volatility Traders in New York can expect to earn $150,000 to $225,000+ base. Total compensation for all Quantitative Volatility Traders also includes a large annual bonus which is guaranteed in year one and based on employee and firm performance thereafter.
Xantium Group is a global name for Tudor Capital Europe LLP that runs a multi-strategy, data-driven investment program. It uses teams of quantitative researchers, developers, and traders to build models and trading systems that uncover and exploit opportunities across financial markets. The process centers on quantitative research and technology to identify investment possibilities and navigate market fluctuations, often employing automated or systematic trading across a range of strategies. The group differentiates itself through its integration with Tudor Group, global footprint (London, New York, Stamford, Paris, Singapore, Sydney), and a regulated framework under the Financial Conduct Authority, with leadership led by CEO Oliver Watson and CIO Sergey Levin. Its goal is to generate returns by applying data-driven methods to capture opportunities while managing risk and volatility, without relying on direct client solicitation on its public website.
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