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Quantitative Researcher – Master's: 2026 SIG · · $250,000-$300,000 New York, United States a mo[...]

Tradermath

New York (NY)

On-site

USD 250,000 - 300,000

Full time

30+ days ago

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Job summary

A leading trading firm is seeking a Quantitative Researcher to design and implement advanced models and conduct large-scale data analysis. Ideal candidates will have a Master's degree in quantitative fields and strong programming skills, primarily in Python. This position offers a competitive salary range of $250,000-$300,000 and opportunities for growth through mentorship. The role is based in New York with potential collaboration in Philadelphia as well.

Qualifications

  • Graduating by Summer 2026 in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics.
  • Excellent logical reasoning and passion for data-driven decision-making.
  • Comfortable processing and analyzing large data sets.

Responsibilities

  • Design, validate, backtest, and implement statistical and advanced machine learning models.
  • Collaborate with systematic traders and technologists.
  • Backtest ideas using historical market data.

Skills

Analytical problem-solving
Clear communication
Programming in Python
Strategic thinking
Self-motivated

Education

Masters in quantitative fields

Tools

Python
C++
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.

What you can expect
  • Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate alphas. Propose improvements or optimize existing strategies.
  • Evaluation. Backtest ideas using historical market data and large research clusters.
  • Education. Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth.
  • Collaboration. Work in an open environment that allows you to collaborate with systematic traders and technologists to push strategies into production.
What we're looking for
  • 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++ (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 a dynamic, fast‑moving environment.

By applying to this role, you will be automatically considered for the Quantitative Systematic Trader position. There is no need to apply to both positions to be considered for both.

Opportunities as a Quantitative Researcher and as a Quantitative Systematic Trader will be available in our Philadelphia and New York offices.

The annual base pay range for this role is $250,000-$300,000. Susquehanna considers factors such as scope and responsibilities of the position, work experience, education/training, key skills, as well as market and organizational considerations when extending an offer.

Visa sponsorship is available for this position.

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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