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About the Company
This global quantitative trading firm has spent over two decades at the forefront of market innovation, leveraging advanced technology and cutting-edge research to identify and capitalize on unique opportunities. With a decentralized structure that empowers independent trading teams and a culture rooted in collaboration and continuous improvement, the firm combines the agility of a boutique with the scale of a global powerhouse. Engineers, traders, and researchers work together to develop world-class electronic trading infrastructure, driven by a shared commitment to high performance, low latency, and rigorous analysis.
About the Role
As a Quantitative Trader / Researcher, you will join a high-performing trading team to design, test, and deploy algorithmic trading strategies using one of the fastest and most advanced in-house systems in the world. You’ll work with vast data sets to uncover patterns in market behavior, build high- to mid-frequency alphas, and collaborate on new trading ideas that contribute directly to the firm’s performance. This role offers a stimulating and intellectually rigorous environment where innovation, data, and speed converge.
Key Responsibilities
Design, implement, and deploy proprietary trading algorithms
Conduct research into high- and mid-frequency alpha strategies
Analyze market data, market microstructure, and alternative data sets to identify profitable patterns
Build tools and platforms for data analysis and strategy development
Contribute to analytical libraries and simulation frameworks
Develop, enhance, and calibrate exchange simulators for strategy testing
Skills & Experience Required
Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Computer Science, or a related STEM field
Experience in quantitative trading preferred but not required
Strong foundation in mathematics, statistics, and data analysis
Skilled in back-testing, simulation, and statistical techniques (e.g., auto-regression, PCA)
Experience working with large-scale data, including tick-level data
Familiarity with signal generation and statistical modeling
Proficiency in Python or C++
Compensation Anticipated base salary range (New York/Chicago): $120,000 – $200,000
Eligible for performance-based bonuses