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ABOUT THE OPPORTUNITY
We are partnering with a leading quantitative trading firm seeking a Quantitative Trader / Researcher to join a high-performing systematic trading team.
About the Role
This role offers the opportunity to research, develop, test, and deploy algorithmic trading strategies within a sophisticated, technology-driven trading environment. The ideal candidate combines strong quantitative and statistical skills with an interest in financial markets, market microstructure, and systematic strategy development.
Key responsibilities
What You’ll Do
Research and develop high- to mid-frequency quantitative trading strategies
Identify predictive signals and patterns across large-scale market and alternative datasets
Analyze market behavior, tick data, and market microstructure
Design, back-test, simulate, and deploy algorithmic trading strategies
Build analytical tools and data infrastructure to support quantitative research
Develop and improve statistical models, research libraries, and trading analytics
Contribute to the development and calibration of market and exchange simulations
Collaborate with quantitative researchers, traders, and engineers to move research ideas into production
What We’re Looking For
Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Computer Science, Physics, Engineering, or another quantitative discipline
Strong foundation in mathematics, probability, and statistics
Experience with statistical modeling, back-testing, simulation, and quantitative analysis
Ability to analyze large datasets, including high-frequency or tick-level market data
Familiarity with signal generation, predictive modeling, and quantitative research techniques
Strong programming skills in Python and/or C++
Intellectual curiosity and a rigorous, research-driven approach to problem solving