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Quantitative Trading Intern Jobs (NOW HIRING)

Akuna Capital

Quantitative Research Intern

Chicago, IL · On-site

$130K/yr

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge ... What you'll do as a Quantitative Research Intern at Akuna: Akuna's Quant team is looking to add ...

Optiver

Quantitative Research Intern (PhD)

Chicago, IL · On-site

$80K - $90K/yr

As a Quantitative Research Intern, you will work side-by-side with our Research Team of ... Led by our in-house education team, you will delve into trading fundamentals and engage in a ...

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Quantitative Trading Intern information

What does a Quantitative Trading Intern do?

A Quantitative Trading Intern supports the research, development, and implementation of trading strategies using mathematical models and statistical techniques. They analyze market data, backtest strategies, and write code to automate trading operations. Interns collaborate with traders, researchers, and engineers to optimize performance and refine algorithms. The role requires strong programming skills, proficiency in statistics, and a deep understanding of financial markets.

What are the key skills and qualifications needed to thrive in the Quantitative Trading Intern position, and why are they important?

To thrive as a Quantitative Trading Intern, you need a solid background in mathematics, statistics, and programming (often with experience in Python, R, or C++) typically supported by coursework in quantitative fields. Familiarity with financial market data, data analysis tools, and version control systems like Git is highly valued. Strong analytical thinking, problem-solving ability, and collaboration skills are crucial for tackling complex challenges in a team-based environment. These skills and qualities are essential for developing trading strategies, interpreting large datasets, and contributing effectively in the fast-paced world of quantitative finance.

What types of projects or tasks can I expect to work on as a Quantitative Trading Intern?

As a Quantitative Trading Intern, you will often work on projects involving data analysis, statistical modeling, and backtesting trading strategies using real historical market data. Daily tasks may include writing code to analyze financial data sets, assisting in the development of trading algorithms, and presenting your findings to senior team members. You might also help automate existing trading processes or conduct research to identify new market opportunities. Interns typically collaborate closely with quantitative analysts, traders, and software engineers, offering a valuable opportunity to learn from experienced professionals and gain hands-on exposure to the trading environment.

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Quantitative Trading Intern jobs near you
Machine Learning Internship - PhD: 2027

Machine Learning Internship - PhD: 2027

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time, Internship

Re-posted yesterday

Job description

Overview
Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.
As a Machine Learning Intern at Susquehanna, you'll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You'll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna's research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.
What You Can Expect
  • Conduct research and develop ML models to identify patterns in noisy, non-stationary data
  • Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • One-on-one mentorship from experienced researchers and technologists
  • Participate in a comprehensive education program with deep dives into Susquehanna's ML, quant, and trading practices
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making

What we're looking for
  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
  • Proven experience applying machine learning techniques in a professional or academic setting
  • Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow
  • Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment

Why Join Us?
  • Work with a world-class team of researchers and technologists
  • Access to unparalleled financial data and computing resources
  • Opportunity to make a direct impact on trading performance
  • Collaborative, intellectually stimulating environment with global reach

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
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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