Graduate Quantitative Researcher, PhD
Location: Chicago
Company Insight
A leading global market-making and trading firm known for its expertise in high-frequency trading, risk management, and innovative use of technology. Specializing in providing liquidity across financial markets, they leverage advanced quantitative strategies and proprietary technology to deliver efficient, low-cost transactions. With a focus on data-driven research and real-time analytics, this firm designs and maintains high-performance trading systems and state-of-the-art infrastructure to operate at the forefront of market dynamics.
Operating across major global financial centers, they have a collaborative culture across their teams. This integrated global presence allows the firm to refine its approach to market-making, ensuring seamless knowledge-sharing and the continuous evolution of its trading capabilities.
Your Role
- Using statistical models and machine learning to develop trading algorithms.
- Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure and financial instruments to identify trading opportunities.
- Building stochastic models to determine the fair value of financial derivatives.
- Combining quantitative analysis and high-performance implementation to ensure the efficiency and accuracy of pricing engines and libraries.
About You
- PhD in quantitative background – includes Mathematics, Computer Science, Statistics, Engineering, Operations Research, or a related STEM field.
- Programming proficiency with at least one major programming or scripting language – e.g. C++, Java, Python.
- Expected graduation date by 2025/2026
- Knowledge of machine learning, pattern recognition, and NLP is a plus.
Pre-Application
- Please do not apply if you are looking for contract or remote work.
- Please ensure you meet the required experience section prior to applying.
- Allow 1-5 working days for a response to any job inquiry.
- Your application is subject to our privacy policy, found here: https://www.thurnpartners.com/privacy-policy
