Quantitative Researcher - Volatility (USA)

Trexquant Investment

$120K — $180K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS/PhD in a STEM field
  • 5+ years in quantitative research with a focus on volatility markets
  • Proficient in Python and statistical modeling
  • Experience with industry volatility models and options pricing
  • Familiarity with C++ is a plus
  • Strong problem-solving skills, both independently and in teams

Responsibilities

  • Build and maintain proprietary pricing and analytics tools for volatility research
  • Calibrate implied volatility surfaces across various options products
  • Design, implement, and optimize trading strategies for volatility markets
  • Analyze large datasets to identify actionable alpha signals
  • Apply cutting-edge quantitative finance research to enhance trading strategies
  • Innovate existing models by integrating new data sources and advanced techniques
  • Collaborate with a team of researchers to backtest and refine strategies

Benefits

  • Competitively compensated with performance-based bonuses
  • Casual and collaborative work environment
  • Comprehensive health, dental, and vision insurance fully covered for employees and dependents
  • Pre-tax commuter benefits to ease daily travel
Full Job Description
We are seeking a highly skilled and motivated Quantitative Researcher to join our Volatility team. This role will be pivotal in helping to scale up a growing Volatility focused research group, and will work closely with our Head of Volatility to execute on our strategic roadmap. The role will focus on building volatility specific tooling, as well as on researching signals & strategies for trading within the volatility markets. The ideal candidate will have expertise in volatility modeling, statistical analysis, and a deep understanding of volatility market dynamics.

Responsibilities
  • Build and maintain proprietary pricing/analytics tooling for volatility research.
  • Calibrate implied volatility surfaces across single stock, index, ETF options and more. Work with developers to productionize models and integrate them into backtesting and live trading systems.
  • Design, implement, and optimize trading strategies to predict volatility market trends using extensive financial data and a wide array of trading signals.
  • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for volatility trading.
  • Explore and apply cutting-edge academic research in quantitative finance to assess, refine, and enhance the profitability of trading strategies.
  • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability.
  • Collaborate closely with a team of experienced quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through rigorous simulations and data analysis.

Requirements

  • BS/MS/PhD degree in a STEM field.
  • 5+ years of experience in quantitative research, specifically focused on volatility markets.
  • Proficiency in programming languages like Python and statistical modeling.
  • Experience with industry volatility models; strong understanding of options pricing.
  • Familiarity with C++ a nice to have.
  • Strong problem-solving skills with an ability to work effectively both independently and as part of a team.

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.
  • Pre-Tax Commuter Benefits - making your commute smoother.


Trexquant is an Equal Opportunity Employer.

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