Head of Options Quantitative Strategies (USA)

Posted 2 Days Ago
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Stamford, CT
Senior level
Machine Learning • Business Intelligence
The Role
The Head of Options Quantitative Strategies will lead a team to develop, research, and implement quantitative options and volatility strategies. Responsibilities include data identification for backtesting, collaboration with development and risk teams, and optimization of trading executions, while regularly updating senior management on strategy alignment.
Summary Generated by Built In

Description

We are looking for an experienced Options trading specialist to develop quantitative strategies and build out an Options Quantitative Strategy Team. In this role, you will be responsible for developing strategies and building out a team of quantitative researchers for researching, implementing, and trading profitable option and volatility based strategies within our core product. Your work will integrate options into our proven quantitative processes, and expand our tradable universe, profitability, and competitive edge.

Responsibilities

  • Lead a team of researchers in researching, implementing, and trading profitable volatility and options based quantitative strategies.
  • Identify data useful for building and backtesting proposed volatility and options trading strategies then build pipelines to feed these datasets into our research and trading platforms.
  • Collaborate with the development team to improve accuracy, robustness, and speed of our platform in simulating and trading options and volatility based strategies.
  • Develop options and volatility based trading strategies and partner with the executions team to optimize execution of options based strategies, harmonizing with existing investments and asset classes.
  • Partner with the risk team to establish monitoring and controls for option specific risk exposures as well as risk allocation among our incumbent strategies.
  • Lead the Options Quantitative Strategy Team to continually add, enhance and monitor Option and Volatility alphas for the ongoing profitability and scale of the team’s strategies.
  • Regularly present to senior management to collaborate and align quantitative option research with overall trading and investment strategies.
Requirements
  • 5+ years of experience in researching and trading quantitative options and volatility based strategies.
  • Experience managing or leading a team of quant researchers.
  • Strong quantitative skills.
  • Proficiency in Python.
Benefits
  • Competitive salary, plus bonus based on individual and company performance.
  • Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets.
  • PPO Health, dental and vision insurance premiums fully covered for you and your dependents.

Top Skills

Python
The Company
HQ: Stamford, CT
67 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.

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