Graduate Quant Researcher - Digital Assets

Greenhouse Software, Inc.; Zug; In loco; CHF 90.000 - 150.000; Tempo pieno

Descrizione del lavoro

IMC is seeking a Graduate Quantitative Researcher to work with experienced researchers and developers on data-driven trading ideas in a fast-paced environment. You will learn how ideas are researched, tested, and deployed, contributing to live strategy development from early in your career.

This on-site role based in Zug, Switzerland, offers exposure to cryptocurrency markets, DeFi protocols, and traditional markets, with collaboration across researchers, developers, and engineers to turn

Competenze

• Final-year student or recent graduate in Mathematics, Statistics, Physics, Computer Science, Engineering or a related quantitative field.
• Strong analytical and problem-solving skills, with the ability to learn quickly.
• Programming experience, ideally in Python. Familiarity with C++ is a plus.
• A genuine interest in financial markets, trading, crypto, or DeFi.
• Comfortable working with data and applying quantitative methods to real-world problems.
• Curious, collaborative, and eager to take ownership in a fast-moving environment.

Mansioni

• Research and test data-driven trading ideas.
• Analyse large and complex datasets from cryptocurrency exchanges, DeFi protocols, and financial markets.
• Build, test, and improve models, signals, and algorithms that support trading strategies.
• Work with IMC’s cutting-edge data, software, and high-performance computing infrastructure.
• Collaborate closely with researchers, developers, and engineers to turn research into production-ready strategies.
• Learn how to evaluate trading opportunities with a focus on performance, scalability, robustness, and risk.

Conoscenze

Python programming

Data analysis

Analytical skills

C++ familiarity

Finance interest

Formazione

Quantitative field degree

Descrizione del lavoro

Graduate Quant Researcher - Digital Assets

As a Graduate Quantitative Researcher, you will work with experienced researchers and developers in a fast-paced, data-driven environment. You will learn how trading ideas are researched, tested, and deployed, while contributing to live strategy development from early in your career.

Your Core Responsibilities:

• Research and test data-driven trading ideas
• Analyse large and complex datasets from cryptocurrency exchanges, DeFi protocols, and financial markets
• Build, test, and improve models, signals, and algorithms that support trading strategies
• Work with IMC’s cutting-edge data, software, and high-performance computing infrastructure
• Collaborate closely with researchers, developers, and engineers to turn research into production-ready strategies
• Learn how to evaluate trading opportunities with a focus on performance, scalability, robustness, and risk

Your Skills and Experience:

• Final-year student or recent graduate in Mathematics, Statistics, Physics, Computer Science, Engineering or a related quantitative field
• Strong analytical and problem-solving skills, with the ability to learn quickly
• Programming experience, ideally in Python. Familiarity with C++ is a plus
• A genuine interest in financial markets, trading, crypto, or DeFi
• Comfortable working with data and applying quantitative methods to real-world problems
• Curious, collaborative, and eager to take ownership in a fast-moving environment

Prior experience in trading, crypto, or financial markets is helpful but not required.

This is an on-site role based in Zug, Switzerland, with very limited flexibility for working from home.

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

At IMC, we understand the importance of diversity, equity and inclusion, and are committed to continually improving this in our recruitment process. As part of our commitment, we have added an additional question below, to better understand our candidates, and focus our marketing, sourcing and interviewing efforts, to ensure equitable outcomes. This question is voluntary, and the information you provide will only be used for the purpose stated above and will not be shared with interviewers in the application process. If you do not wish to provide a response to the question, there will be no adverse impact on your application.