Junior Quant Researcher – Crypto & Digital Assets

Trading Interview

Schweiz

Remote

CHF 90.000 - 150.000

Vollzeit

Vor 13 Tagen

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Versende in nur wenigen Minuten einen passgenauen Lebenslauf.

Zusammenfassung

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

You will research data-driven ideas, analyze large datasets from crypto markets, and build models and signals to support trading strategies using cutting-edge infrastructure and collaboration with the team.

Qualifikationen

  • Final-year student or recent graduate in Mathematics, Statistics, Physics, CS, Engineering or related quantitative field.
  • Strong analytical and problem-solving skills and the ability to learn quickly.
  • Programming experience, ideally in Python; familiarity with C++ is a plus.
  • 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.

Aufgaben

  • 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 for trading strategies.
  • Work with IMC’s data, software, and HPC infrastructure.
  • Collaborate with researchers, developers, and engineers to productionize research.

Kenntnisse

Data analysis
Problem solving
Learning agility
Collaboration
Quantitative reasoning
Attention to detail

Ausbildung

Quantitative degree

Tools

Python
C++

Jobbeschreibung

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

You will research data-driven ideas, analyze large datasets from crypto markets, and build models and signals to support trading strategies using cutting-edge infrastructure and collaboration with the team.

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