Posted 17 days ago
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Millennium seeks a Quantitative Developer to join its Options Volatility trading team in Zurich to build and maintain core trading infrastructure and automation. The role involves close collaboration with traders, researchers, and developers to deliver solutions across the tech stack, debug data streams and trading processes, and develop visualization tools. Ideal candidates have strong programming skills (Python, Unix, Airflow, Postgres, Flask, JS) and a quantitative background in computer science, engineering, physics, or mathematics. The position offers a fast-paced environment within a top-tier hedge fund with a target start in Spring 2026.
- Compensation
- Not specified
- City
- Zurich
- Country
- Switzerland
Currency: Not specified
Full Job Description
Quantitative Developer, Options Volatility
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
A collaborative, and entrepreneurial investment team is seeking an experienced developer to join in building critical trading infrastructure. This opportunity provides a dynamic and fast-paced environment with excellent opportunities for career growth.
Job Description
An established Options Vol team seeking a highly motivated and detail-oriented Quant Developer to join their team in Zurich. The ideal candidate will have a strong passion for building robust trading systems and be familiar with the trading process. This role requires someone who is extremely hard-working and comfortable working in a close-knit team dealing with many projects simultaneously. You will be working on our core trading engine and building out trade automations that drive the business.
Location
Zurich
Principal Responsibilities
- Core Trading Development: Develop, maintain, and improve our core trading infrastructure.
- Collaboration: Work closely with traders, researchers, and other developers within the team in a transparent way to understand requirements and deliver solutions across the entire tech stack.
- Code Debugging: Lead daily task debugging of data streams and trading process across both physical and virtual servers, ensuring effective data capture and trading efficiency.
- Front-End Development: Support the team with visualization and tool development process.
- Support: Provide ongoing support and troubleshooting for existing trading systems and models.
Preferred Technical Skills
- Programming Proficiency: Strong programming skills in Python, Unix, Airflow, Postgres DB, Flask and JS.
- Bachelor’s, Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field appropriate to a computational background
- Quantitative Skills: Solid understanding of quantitative finance and statistical methods.
- Knowledge of C++ or Rust is advantageous.
Preferred Experience
- Professional experience in quantitative role, ideally software engineer on a trading desk (preferably options trading).
- Trading Knowledge: Familiarity with the trading process and financial markets.
- Problem-Solving: Excellent analytical and problem-solving skills.
- Attention to Detail: Meticulous attention to detail and a commitment to accuracy.
- Work Ethic: Demonstrated ability to work hard and manage multiple tasks simultaneously.
- Team Player: Ability to work effectively in a collaborative team environment.
- Communication Skills: Strong verbal and written communication skills.
Target Start Date
Spring 2026
