Software Engineer – Systematic Trading Strategies

TalentCloud Group Recruitment

Zug

Vor Ort

CHF 120.000 - 180.000

Vollzeit

vor 1 Stunde
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Zusammenfassung

TalentCloud Group Recruitment is recruiting for a global proprietary trading firm with a lean, ownership-driven Switzerland team. You will contribute to the in-house trading platform and its infrastructure, while refining execution tooling and analysing market data in a fast-changing environment.

The role emphasizes strong math/Stats, knowledge of digital assets, and proficiency in a systems language within a Linux R&D setup. English fluency is essential in this collaborative, fast-paced culture.

Qualifikationen

  • Strong grounding in applied mathematics, statistics, or numerical modelling.
  • Solid understanding of digital assets and how these markets function.
  • Fluency in at least one systems-level or specialised programming language.
  • Comfortable working in a Linux-based R&D environment with version control and standard engineering tooling.
  • Self-directed, capable of researching and solving problems independently.
  • Strong written and spoken English.

Aufgaben

  • Contribute to a competitive, in-house trading platform and its supporting infrastructure.
  • Build and refine execution and connectivity tooling to industry-leading standards.
  • Analyse market data and evaluate trading strategies in a fast-changing, technically complex environment.
  • Keep pace with a space that changes quickly, and adapt tooling and strategy accordingly.

Kenntnisse

Math & Stats
Digital assets
Systems programming
Linux environment
Self-directed
English fluency

Jobbeschreibung

Our client is a global proprietary trading firm with decades of history in traditional markets and a fast-growing presence in emerging, technology-driven asset classes. Operating from offices across several continents, the business is built around a strong research culture, in-house engineering, and short feedback loops between idea and live trading. The Switzerland-based team our client is hiring for is small, close-knit, and given significant ownership over the tools and systems it builds.

This team works on the technology that supports the firm's activity in newer, rapidly evolving parts of the market. Because that landscape shifts quickly, the group stays deliberately lean and flexible, giving each engineer room to move across projects and shape their day-to-day work around their strengths.

What You’ll Do
  • Contribute to a competitive, in-house trading platform and its supporting infrastructure
  • Build and refine execution and connectivity tooling to industry-leading standards
  • Analyse market data and evaluate trading strategies in a fast-changing, technically complex environment
  • Keep pace with a space that changes quickly, and adapt tooling and strategy accordingly
What We’re Looking For

Must have:

  • Strong grounding in applied mathematics, statistics, or numerical modelling
  • Solid understanding of digital assets and how these markets function
  • Fluency in at least one systems-level or specialised programming language used in modern financial or distributed-systems engineering
  • Comfortable working in a Linux-based R&D environment with version control and standard engineering tooling
  • Self-directed, comfortable researching and solving problems independently
  • Strong written and spoken English

Advantageous:

  • Prior exposure to newer, technology-native segments of the financial markets
  • Specialised knowledge of the underlying architecture of modern distributed ledger systems
  • Hands-on experience in a quantitative or systematic trading environment
  • Familiarity with smart contract design and development
  • Working knowledge of applied cryptography, digital signatures, or hashing
Location & Working Style
  • Based in Switzerland
  • Primarily office-based, with limited flexibility for remote work
  • A fast-paced setting with a steady stream of new problems to solve
  • Fast iteration between research, build, and deployment
  • Significant early ownership, with strong support behind it
  • A flat, collaborative culture that encourages sharing ideas and expertise across teams
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