Lead Quant Researcher for Revenue-Driven Hybrid Trading

Chicago Trading Company; New York (NY); Hybrid; USD 250,000 - 300,000; Full time

Benefits offered by this job

Hybrid workplace

Generous time off

Insurance coverage

Parental leave

Free breakfast and lunch

Job summary

Chicago Trading Company (CTC) is seeking a Principal Quantitative Researcher to partner with Trading and Technology to drive new revenue, scale, and evolve the firm's trading capabilities. You will lead research areas, influencing the direction of the team in a dynamic environment.

This includes collaboration with researchers, traders, and engineers on quantitative problem solving and system design. Take advantage of this opportunity to apply rigorous scientific methods to trading problems and

Qualifications

• PhD in Science or Engineering strongly preferred.
• At least 10 years in a top systematic trading team as a quantitative researcher.
• Proven ability to conduct independent, high-quality research and generate positive PnL.

Responsibilities

• Define and articulate a long-term vision that leads to new revenue sources.
• Conduct revenue-generating research and support others' research.
• Develop a structured roadmap for quant functions and ensure alignment and accountability.
• Direct development of infrastructure across pricing models and research platforms.
• Foster coordination across risk management, development, and research to drive business impact.

Skills

Python

Numpy

Pandas

Quantitative research

Communication

Education

PhD in Science or Engineering

Tools

Python

Backtesting frameworks

Job description

Chicago Trading Company (CTC) is seeking a Principal Quantitative Researcher to partner with Trading and Technology to drive new revenue, scale, and evolve the firm's trading capabilities. You will lead research areas, influencing the direction of the team in a dynamic environment.

This includes collaboration with researchers, traders, and engineers on quantitative problem solving and system design. Take advantage of this opportunity to apply rigorous scientific methods to trading problems and