Principal 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 Principal Quantitative Researcher to partner with Trading and Technology to drive new revenue, scale, and evolve the firm's trading capabilities. In this role, you will lead research areas, influencing the direction of the team in a dynamic environment. This includes partnership with other researcher managers, traders and engineers on quantitative problem solving, trading strategy generation, back-testing, statistical analysis, and system design.
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
Define and articulate a long-term vision that will lead to new sources of revenue, evolving with business needs and market structure
Conduct commercially focused revenue generating research, while supporting others with their research
Develop a structured roadmap and ensure quant functions remain focused, aligned, and accountable
Direct development of innovative infrastructure across pricing models and research platforms
Foster coordination across risk management, development, and quantitative research to drive measurable business impact
Provide thought leadership while applying academic rigor to practical trading applications
What We’re Looking For
PhD in Science or Engineering fields (e.g. Statistics, Mathematics, Physics, Operations Research, Electrical Engineering) strongly preferred
Experience in a top systematic trading team of which at least 10 years as a quantitative researcher
Proven ability to conduct independent, high-quality research
Demonstrable track record of generating positive PnL
Exceptional ability to communicate complex ideas and research results, both in writing and verbally
Experience with the software development lifecycle with advanced programming skills
Unique combination of analytical prowess, programming skills, and acute understanding of business
Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes
Strong Python skills including Numpy and Pandas libraries
Nice to Haves
Management experience leading a healthy and empowered team, driving accountability.
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 Python skills including Numpy and Pandas libraries
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
$250,000—$300,000 USD