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Quantitative Researcher

Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications

Design, validate, backtest, and implement statistical and machine learning models for trading strategies. Conduct large-scale data analysis and alpha signal research to enhance strategy performance. Collaborate with systematic traders and technologists in a fast-paced, intellectually driven environment.

Key Highlights
PhD graduates by Summer 2026 or postdocs in quantitative fields
Model development, robustness, and long-term reliability focus
Python programming with optional C++ experience required
Key Responsibilities
Blend strong research capabilities with deep understanding of trading to design statistical and advanced machine learning models
Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate alphas
Backtest ideas using historical market data and large research clusters
Technical Skills Required
Python C++
Benefits & Perks
Visa sponsorship available
Nice to Have
Experience with C++ (or another low-level language)
Strategic thinkers with demonstrated interests in strategic games and/or competitive activities

Job Description

As a Quantitative Researcher at Susquehanna, you’ll blend strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, quantitative researchers typically focus more on model development, robustness, and long-term reliability.
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