Crypto Quant Researcher: Low-Latency Trading & Research

ittihad medical centre

Zug

Vor Ort

CHF 120.000 - 180.000

Vollzeit

14 Tage+
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Mach aus dieser Rolle ein Vorstellungsgespräch — ein Lebenslauf und ein Anschreiben, die darauf ausgerichtet sind, was dieser Arbeitgeber sucht.

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Zusammenfassung

IMC Zug is expanding its Research team to build the algorithms powering its trading activities in crypto and traditional markets. You will research in a fast-paced environment, using a cutting-edge data and software stack, and work with a high-performance computing platform to explore PnL opportunities.

The role emphasizes fully-automated strategies, strong mathematical foundations, and rapid feedback from research to deployment in a collaborative office setting in Zug, Switzerland.

Qualifikationen

  • Experience in researching and developing fully-automated low latency crypto trading strategies.
  • Background in Statistics, Mathematics, Physics, Computer Science or a related technical field.
  • Team player.
  • Strong development skills in Python. Familiarity with C++ is a plus.
  • Outstanding analytical skills with the ability to learn quickly.

Aufgaben

  • Research within a team of highly experienced Researchers in the low latency, PnL-focused trading space.
  • Work with a cutting-edge data and software stack.
  • Work with our high performance computing platform.
  • Extensive flexibility in exploring PnL-generating opportunities within your research area

Kenntnisse

Python programming
Low latency trading
Team player
C++ familiarity
Analytical thinking

Ausbildung

Statistics/Mathematics/Physics/CS background

Tools

Python
C++

Jobbeschreibung

IMC Zug is expanding its Research team to build the algorithms powering its trading activities in crypto and traditional markets. You will research in a fast-paced environment, using a cutting-edge data and software stack, and work with a high-performance computing platform to explore PnL opportunities.

The role emphasizes fully-automated strategies, strong mathematical foundations, and rapid feedback from research to deployment in a collaborative office setting in Zug, Switzerland.

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