Qualifications
Your ProfileWe welcome applications from both recent graduates eager to leverage their academic achievements and experienced professionals prepared to confront challenging scenarios. If you possess the following skills and attributes, we encourage you to apply:Master's degree in Physics, Mathematics, Computer Science, or a related field with outstanding academic performance*Proficient in multiple programming languagesExperienced in a Linux/Unix environment (command line, SSH, etc.)Familiar with version control systems (git)Detail-oriented coder adhering to strict coding standards to minimize errorsEffective communicator and collaborative team playerProactive, adaptable, and resilient under pressure*Minimum criteria include: (i) enrollment at a top 200 university and (ii) exemplary grades such as CH: ≥5.5, UK: ≥70%, NL: ≥8.0, DE: ≤1.6, FR: A, IT: 110L or equivalent. We value a holistic approach to talent evaluation. While academic performance is important, we also consider exceptional skills, experiences, or accomplishments in other areas that may offset slightly lower grades.
About the job
Your Role
As a Quantitative Developer at mathrix, you will be at the forefront of tackling mathematical and data-centric challenges that arise in a high-performance trading environment. Your expertise will contribute to the development of software and models integral to our automated trading strategies. You will engage in extensive coding and system creation to effectively manage complex datasets and processes. This position requires a blend of technical proficiency and practical problem-solving skills to identify optimal solutions for our trading strategies. Through diligent questioning, project analysis, research, backtesting, and implementation, you will collaborate closely with leading traders and senior professionals to craft cutting-edge solutions that align with our objectives.
About mathrix
At mathrix, we are innovators in the field of quantitative trading. Our team is composed of highly skilled professionals dedicated to harnessing mathematical and computational techniques to optimize trading strategies. We foster a dynamic and collaborative work environment, encouraging continuous learning and the sharing of knowledge among colleagues.
