CTC is seeking a Quantitative Researcher to partner with Trading and Technology to strengthen, scale, and evolve the firm's trading capabilities within one of the quant research teams. The role involves applying the scientific method to business problems to drive innovation and generate revenue.
Requirements
- Advanced programming skills and experience with the software development lifecycle
- Proven ability to blend academic rigor with practical application in fast-paced trading environments
- Experience with wide variety of market and alternative data
- Expertise in US options markets, options pricing models, volatility surfaces, and risk management techniques
- Strong Python skills including Numpy and Pandas libraries
- Strong track record of publications in an industry setting
Responsibilities
- Analyze market data to come up with economic and microstructure hypotheses
- Build predictive and explanatory models to describe financial markets
- Add revenue by applying thorough research processes to real life business problems
- Conduct independent, high quality research in quantitative finance
- Communicate complex ideas and research results effectively, both in writing and verbally
- Drive innovation and results through analytical prowess and business acumen
- quantitative problem solving, trading strategy generation, back-testing, statistical analysis, and system design
Other
- PhD in Science or Engineering fields (e.g. Statistics, Mathematics, Applied Mathematics, or Operations Research) strongly preferred
- Minimum 5 years of experience as a Quantitative Researcher in a top systematic trading team or high-quality options trading firm
- Demonstrable track record of generating positive PnL
- Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes
- Most teams at CTC, with the exception of Trading, follow a hybrid workplace model, subject to change based on business need.
