Quantitative Researcher - Systematic

CTC Lateral - Website & LinkedIn•Chicago, IL

1d•Hybrid

About The Position

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. 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!

Requirements

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

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