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Quantitative Researcher - Pricing

at IMC Trading

Back to all Python jobs
IMC Trading logo
Proprietary Trading

Quantitative Researcher - Pricing

at IMC Trading

ExperiencedNo visa sponsorshippython

Posted a day ago

0 clicks

Compensation
$200,000 – $275,000 USD

Currency: $ (USD)

City
Not specified
Country
United States

IMC Trading is looking for a Quantitative Researcher specializing in options pricing to develop and refine pricing models and volatility strategies. The role involves collaboration with traders and researchers to translate insights into actionable strategies, focusing on empirical and theoretical approaches.

IMC Trading is seeking a talented Quantitative Researcher with proven experience in options pricing to join our trading organization. In this role, you will focus on developing, testing, and refining pricing models, with an emphasis on capturing edge through volatility modeling and market microstructure insights.

Key Responsibilities:

  • Develop and optimize pricing libraries for theoretical and empirical options pricing models (e.g., Black-Scholes, local/stochastic volatility, jump-diffusion)
  • Collaborate closely with traders, quantitative researchers, and developers to translate model insights into actionable strategies
  • Research and implement models to fit implied volatility surfaces
  • Conduct statistical analysis on large volumes of historical and real-time market data
  • Backtest pricing and execution strategies across multiple timeframes and asset classes

Required Skills & Experience:

  • PhD or Master’s in Math, Physics, Engineering or a related quantitative field
  • Strong understanding of American options pricing theory and practice
  • Previous experience with pricing options on equities & equity indices, fixed-income products, event modeling
  • Strong programming experience (Python, Java or C++ preferred)
  • Solid background in statistics, stochastic processes, and numerical methods
  • Excellent problem-solving skills and a passion for financial markets
  • Prior experience in a trading or quant research environment is strongly preferred
  • Experience with real-time trading systems and low-latency infrastructure is a plus
  • Familiarity with volatility trading strategies or structured products preferred
  • Previous exotics pricing experience is a plus

 

#LI-DNP

About Us

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

 

Quantitative Researcher - Pricing

at IMC Trading

Back to all Python jobs
IMC Trading logo
Proprietary Trading

Quantitative Researcher - Pricing

at IMC Trading

ExperiencedNo visa sponsorshippython

Posted a day ago

0 clicks

Compensation
$200,000 – $275,000 USD

Currency: $ (USD)

City
Not specified
Country
United States

IMC Trading is looking for a Quantitative Researcher specializing in options pricing to develop and refine pricing models and volatility strategies. The role involves collaboration with traders and researchers to translate insights into actionable strategies, focusing on empirical and theoretical approaches.

IMC Trading is seeking a talented Quantitative Researcher with proven experience in options pricing to join our trading organization. In this role, you will focus on developing, testing, and refining pricing models, with an emphasis on capturing edge through volatility modeling and market microstructure insights.

Key Responsibilities:

  • Develop and optimize pricing libraries for theoretical and empirical options pricing models (e.g., Black-Scholes, local/stochastic volatility, jump-diffusion)
  • Collaborate closely with traders, quantitative researchers, and developers to translate model insights into actionable strategies
  • Research and implement models to fit implied volatility surfaces
  • Conduct statistical analysis on large volumes of historical and real-time market data
  • Backtest pricing and execution strategies across multiple timeframes and asset classes

Required Skills & Experience:

  • PhD or Master’s in Math, Physics, Engineering or a related quantitative field
  • Strong understanding of American options pricing theory and practice
  • Previous experience with pricing options on equities & equity indices, fixed-income products, event modeling
  • Strong programming experience (Python, Java or C++ preferred)
  • Solid background in statistics, stochastic processes, and numerical methods
  • Excellent problem-solving skills and a passion for financial markets
  • Prior experience in a trading or quant research environment is strongly preferred
  • Experience with real-time trading systems and low-latency infrastructure is a plus
  • Familiarity with volatility trading strategies or structured products preferred
  • Previous exotics pricing experience is a plus

 

#LI-DNP

About Us

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.