Auf einen Blick
- Aufgaben: Join our team to develop and enhance core trading systems in a fast-paced environment.
- Arbeitgeber: Be part of an established Options Vol team in Zurich, focused on innovative trading solutions.
- Mitarbeitervorteile: Enjoy a collaborative work culture with opportunities for professional growth and development.
- Warum dieser Job: Work on impactful projects that drive business success while collaborating with passionate professionals.
- Gewünschte Qualifikationen: Strong programming skills in Python and a background in quantitative finance or related fields required.
- Andere Informationen: Ideal for detail-oriented individuals who thrive in a dynamic, team-oriented setting.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Quantitative Developer
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.
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.
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Quantitative Developer Arbeitgeber: Millennium Management
Kontaktperson:
Millennium Management HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Quantitative Developer
✨Tip Number 1
Make sure to showcase your programming proficiency in Python, Unix, and other relevant technologies during your interactions. Highlight any projects where you've built or improved trading systems, as this will resonate well with the team.
✨Tip Number 2
Familiarize yourself with the trading process and financial markets before your interview. Being able to discuss specific examples of how you’ve applied quantitative skills in a trading context will demonstrate your passion and understanding of the role.
✨Tip Number 3
Prepare to discuss your experience with debugging and troubleshooting trading systems. Share specific instances where you identified and resolved issues, as this will show your analytical skills and attention to detail.
✨Tip Number 4
Emphasize your ability to work collaboratively within a team. Be ready to provide examples of how you've successfully communicated and collaborated with others in past roles, especially in high-pressure environments.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Quantitative Developer
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Quantitative Developer position. Understand the key responsibilities and required skills, especially in programming and quantitative finance.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your programming proficiency in Python, Unix, and other listed technologies, as well as any experience in trading systems.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for building trading systems and your familiarity with the trading process. Mention specific projects or experiences that demonstrate your problem-solving skills and attention to detail.
Highlight Team Collaboration: In your application, emphasize your ability to work in a close-knit team environment. Provide examples of past collaborative projects where you successfully communicated and delivered solutions across different tech stacks.
Wie du dich auf ein Vorstellungsgespräch bei Millennium Management vorbereitest
✨Show Your Passion for Trading Systems
Make sure to express your enthusiasm for building robust trading systems. Share specific examples of projects you've worked on that demonstrate your passion and understanding of the trading process.
✨Highlight Your Technical Skills
Be prepared to discuss your programming proficiency in Python, Unix, Airflow, Postgres DB, Flask, and JS. Bring up relevant experiences where you utilized these skills to solve problems or improve systems.
✨Demonstrate Collaboration Experience
Since this role involves working closely with traders and researchers, share instances where you've successfully collaborated in a team environment. Emphasize your ability to communicate effectively and understand diverse requirements.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving skills. Prepare to discuss specific challenges you've faced in previous roles and how you approached them, especially in relation to debugging and optimizing trading processes.