Quant Developer

Mathrix · Zug

Mathrix in Zug, CH, seeks a mid-level Quant Developer for full-time onsite work. The role involves building software and models for automated trading, requiring strong programming skills, a technical background, and the ability to work in a high-pressure, 24/7 environment.

As a Quant Developer at Mathrix, you will design and implement software and models that support automated trading strategies. The position combines technical development with practical problem-solving, requiring collaboration with top traders and senior experts to deliver cutting-edge solutions in a demanding, continuous-operation environment.

Responsibilities

  • Create software and models to support automated trading systems
  • Develop code and systems capable of managing complex data and processes
  • Conduct research, analyze projects, ask critical questions, perform backtesting, and implement solutions

Requirements

  • Master’s degree in Physics, Mathematics, or Computer Science, or equivalent, with outstanding academic results
  • Strong proficiency in multiple programming languages
  • Experience working in Linux/Unix environments, including command-line tools and SSH
  • Familiarity with version control using git
  • Attention to detail and adherence to strict coding standards to reduce errors
  • Ability to communicate clearly and collaborate effectively in a team
  • Proactive, adaptable, and able to handle stress in a fast-paced setting

Nice to have

  • Outstanding skills, experience, or accomplishments in areas that may offset slightly lower academic performance

What the company offers

  • Competitive salary with a discretionary bonus
  • Engaging and motivating work environment
  • Opportunity to work alongside experienced and knowledgeable colleagues
  • 25 vacation days per year
  • Additional perks: regular team dinners, Friday afternoon drinks, annual office trips, weekly massages, and a monthly meal allowance

About the company

Mathrix values a comprehensive approach to evaluating talent, considering both academic excellence and other relevant skills or experiences when assessing candidates.

  • Talent assessment includes academic performance and complementary skills or experiences

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