Alpha Model Scientist: Research, Backtest & Deploy

Tradermath; New York (NY); On-site; USD 255,000 - 345,000; Full time

Job summary

Susquehanna invites applications for a Quantitative Researcher to design, validate, backtest, and implement statistical and ML models across large datasets. The role emphasizes model development, robustness, and long-term reliability within a collaborative trading environment.

The successful candidate will work with quantitative researchers, engineers, and traders, contributing to alpha signal research and strategy performance enhancements in a fast-paced setting.

Qualifications

• PhDs graduating by Summer 2026 or postdocs in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
• Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
• Clear communicators in a fast-paced and highly collaborative environment
• Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
• Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
• Self-motivated and quick to learn, thriving in dynamic, fast-moving environment
• Visa sponsorship is available for this position

Responsibilities

• Modeling: apply probability theory, statistics, and ML to build robust models and alphas
• Execution: propose improvements or optimize existing strategies
• Evaluation: backtest ideas using historical market data and large research clusters
• Education: participate in a comprehensive education program with mentorship
• Collaboration: work with systematic traders and technologists to push strategies into production

Skills

Python

C++

Data analysis

Quantitative research

Education

PhD

Postdoc

Doctoral degree

Tools

Python

C++

Job description

Susquehanna invites applications for a Quantitative Researcher to design, validate, backtest, and implement statistical and ML models across large datasets. The role emphasizes model development, robustness, and long-term reliability within a collaborative trading environment.

The successful candidate will work with quantitative researchers, engineers, and traders, contributing to alpha signal research and strategy performance enhancements in a fast-paced setting.