Quantitative Systematic Trader - Graduate: 2026

Quant Blueprint LLC; San Francisco (CA); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Free onsite catering

Games room

Large in-house gym

Educational classes

Job summary

Quant Blueprint LLC in San Francisco seeks an aspiring quantitative researcher to join their QST Programme starting June 2025. The role involves investigating trading ideas through extensive market data analysis and mathematical modeling.

Ideal candidates are soon-to-be graduates or post-docs in fields like mathematics, physics, or computer science, with a strong interest in collaborative problem-solving. The position offers educational development and a friendly workplace culture.

Qualifications

• Interest in exploring dynamic market conditions and building mathematical models.
• Experience writing code to process and analyze large sets of data.
• Strong communicative skills fostering teamwork and idea sharing.

Responsibilities

• Investigate ideas by immersing yourself in market data.
• Develop and back-test trading strategies and analyze performance.
• Collaborate with quant researchers, strategists, and traders.

Skills

Mathematical modeling

Data processing

Analytical problem solving

Communication

Collaboration

Education

Soon-to-be Masters/PhD Grad or Post-doc in Mathematics, Physics, Engineering, Computer Science, or Econometrics

Tools

Python

Job description

Overview Our Quantitative Systematic Traders connect ideas between trading, quantitative research, and technology to improve how trading decisions are made. As a true hybrid of our core disciplines, you will investigate ideas by immersing yourself in market data, leveraging mathematics, statistics, and programming. Through your research, you will discover new patterns that transform into trading signals, back‑test your results, and carefully analyze its performance. As your trading strategy evolves, you will discuss with other quant researchers, strategists, and traders to collect feedback and brainstorm new ideas. We have a comprehensive orientation programme designed to bridge the gap between academia and industry, covering options pricing, data analysis techniques and simulated trading.

What we’re looking for

• Research Minded – You enjoy diving deep into a question and are interested in exploring the subtleties of dynamic market conditions. You like building mathematical models to reveal patterns in the vast amount of data and love it when you discover a solution to a difficult problem.
• Technically Proficient – You have experience writing code to process and analyze large sets of data. You’re an analytical problem solver who uses logical reasoning to justify decisions.
• A Communicator – You build relationships with colleagues, share ideas, express your thoughts, listen to others, and work with teams to find optimal solutions.
• Ambitious – You set personal goals and give your all to achieve them, whether in academics, sports, arts, or another passion.
• Soon‑to‑be Masters/PhD Grad or Post‑doc – You study mathematics, physics, engineering, computer science, or econometrics and are available to join the QST Programme in June 2025.

What's in it for you

• Education – Classes covering a range of topics (game theory, finance, python, data analysis) taught by experienced employees.
• Collaboration – Work with people across trading, quant research, and technology who share a passion for mathematics, game theory, and technology.
• Development – Through project work you will develop analytical skills, share ideas, and convert research into production trading signals and monitor real‑time performance.
• Culture – A casual, collaborative environment that encourages continuous development for employees of all levels.
• Perks – Situated in Ireland’s Financial Services Centre, employees enjoy free onsite catering, a games room, a large in‑house gym, and other benefits.

Susquehanna is an equal opportunity employer and is committed to diversity and inclusion throughout our recruitment process. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruitment process, please contact us.