Quantitative Researcher: Build Robust Alpha Models

Tradermath; New York (NY); On-site; USD 250,000 - 300,000; Full time

Job summary

Susquehanna seeks a Quantitative Researcher to design, validate, backtest, and implement statistical and machine learning models for trading strategies. You’ll work on alpha signal research, large-scale data analysis, and strategy performance improvements, collaborating with systematic traders and technologists.

You should be finishing a Masters in quantitative fields by Summer 2026, with strong Python skills (C++ a plus) and a passion for turning data into decisions in a fast-paced,

Qualifications

• Masters graduating by Summer 2026 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++ is a plus

Responsibilities

• Modeling: design, validate, backtest, and implement statistical and ML models to generate alphas
• 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

Communication

Problem solving

Education

Masters in quantitative fields

Tools

Statistical modeling

Job description

Susquehanna seeks a Quantitative Researcher to design, validate, backtest, and implement statistical and machine learning models for trading strategies. You’ll work on alpha signal research, large-scale data analysis, and strategy performance improvements, collaborating with systematic traders and technologists.

You should be finishing a Masters in quantitative fields by Summer 2026, with strong Python skills (C++ a plus) and a passion for turning data into decisions in a fast-paced,