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Scientech Research

Proprietary quantitative trading using scientific models

Quantitative Researcher Intern

Quantitative ResearchConfirmed live in the last 24 hours
Internship · Fall 2026No salary listedIn-person

About the Job

Requirements

  • Formal training in independent academic research.
  • Proficiency in C++ and Python.
  • A good understanding of data science and at least one of statistical modeling, machine learning, econometrics, or optimization.
  • The ability to think quickly, critically, and reasonably.
  • Good communication, rigor, patience, and a strong sense of teamwork.
  • High motivation and the ability to work in a fast-paced environment.

Responsibilities

  • Assist senior quantitative researchers with quantitative strategy design, research, and development for global futures, stocks, and options markets.
  • Statistically analyze large-scale tick-by-tick financial data to extract alpha patterns.

Desired Qualifications

  • An advanced degree from a top university, preferably with a major in Statistics, Mathematics, Computer Science, Electrical Engineering, or Physics.

About the Company

Scientech Research

Proprietary quantitative trading using scientific models

Scientech Research Capital is a proprietary quantitative trading firm that uses scientific principles and advanced technology to trade in major global electronic markets with its own capital. The company builds and constantly refines trading models through quantitative research conducted by scientists and technologists, processing large data sets and connecting to about 10 exchanges worldwide to support a daily trading volume around 1 billion. Its products are data-driven trading strategies and an infrastructure platform for multi-asset trading. Unlike many peers, Scientech emphasizes a rigorous, research-led approach and extensive global connectivity to maintain a competitive edge and serve institutional clients. The firm aims to expand its multi-asset trading and research platform to global markets and grow its revenue from proprietary trading by capitalizing on market inefficiencies and volatility.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
Not listed

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