Quantitative Researcher - Systematic
Quantitative research is a key driver of innovation at CTC and one of the pillars upon which our firm is built. We are 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. As a Quantitative Researcher, you will be embedded on a research desk, working close to the tip of the spear in a dynamic environment. This includes partnership with other researchers, traders and engineers on quantitative problem solving, trading strategy generation, back-testing, statistical analysis, and system design. Our environment of collaborative innovation and intellectual curiosity allows us to share in our victories while continually challenging ourselves to stretch the limits of our creativity. Take advantage of this opportunity to apply the scientific method to business problems as part of the Quant team at CTC!
What You’ll Do
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
What We’re Looking For
PhD in Science or Engineering fields (e.g. Statistics, Mathematics, Physics, Applied Mathematics, Operations Research, Electrical Engineering) strongly preferred
Minimum 5 years of experience as a Quantitative Researcher in a top systematic trading team
Demonstrable track record of generating positive PnL
Advanced programming skills and experience with the software development lifecycle
Proven ability to blend academic rigor with practical application in fast-paced trading environments
Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes
Python skills including Numpy and Pandas libraries
Nice to Haves
Experience with a wide variety of market and alternative data
Expertise in US options markets, options pricing models, volatility surfaces, and risk management techniques
Strong track record of publications in an industry setting
Compensation
The salary range for this role is listed below. This role is also eligible for an annual discretionary bonus. The discretionary bonus will be dependent upon the individual’s skills, experience, qualifications, and firm performance.
Salary Range
$200,000—$300,000 USD