Quantitative Researcher Internship 2024 H2

vor 3 Wochen

Zug, Schweiz IMC Zug Vollzeit
Job Description

IMC is a leading global market maker using algorithmic trading and advanced technology to trade across multiple venues worldwide. We provide liquidity to the crypto and traditional financial markets, driving efficiencies for buyers and sellers.

WHAT WE’LL PROVIDE
  • Opportunity to work alongside experienced traders and researchers in the low latency trading space
  • Ability to work with a cutting-edge data and software stack, with access to our high performance computing platform
  • Mentorship and guidance from researchers and developers to sharpen your data and dev skills
  • Competitive salary
  • Possibility of full-time offer upon completion of the internship (ideally directly after the internship)
Requirements

WHAT YOU’LL BRING

  • Final/penultimate year student in Statistics, Mathematics, Physics, Computer Science or a related technical field
  • Team player
  • Outstanding analytical skills with the ability to learn quickly
  • Strong development skills in Python. Familiarity with C++ is a plus.
  • Genuine interest in financial markets, though no prior knowledge or experience is required
  • Full time on-site (Zug, Switzerland) availability for at least three months

WHAT YOU CAN EXPECT

At IMC, no two projects or any two days are the same. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges. One of the most exciting aspects of the job is our quick feedback loop.

Our workforce is just as varied. IMCers are drawn from a broad range of nationalities and backgrounds; what they have in common is their deep technical expertise, extraordinary smarts and highly collaborative approach. We give people lots of responsibility and the support they need to make an impact from day one.

We promise you a flat structure and an open, collaborative culture that stimulates the sharing of ideas, knowledge and technology between our different teams and offices.



IMC Zug builds next-generation trading strategies and software using applied machine learning algorithms and toolsets.

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