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For Companies At a Glance
- Tasks: Join our team to develop and enhance our core trading engine and automate trade processes.
- Company: Be part of a leading index rebalancing team in a dynamic trading environment.
- Benefits: Enjoy a collaborative culture with opportunities for growth and skill development.
- Why this job: Work on cutting-edge trading systems and collaborate with experts in finance and technology.
- Qualifications: Bachelor’s or Master’s in relevant fields; strong Python skills and quantitative finance knowledge required.
- Other info: Ideal for detail-oriented individuals passionate about trading and system development.
The predicted salary is between 43200 - 72000 £ per year.
Quantitative Developer
Junior-Mid Level Quant Developer
Preferred Location: London or Dubai
Leading index Rebal team seeking a highly motivated and detail-oriented Quant Developer to join our team. 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 dedicated to achieving excellence in every aspect of their work. You will be working on our core trading engine and building out trade automations that drive the business.
Key Responsibilities
- Core Trading Engine Development: Develop, maintain, and improve our core trading engine.
- Systematic Trade Automations: Design and implement trade automation systems to enhance trading efficiency and effectiveness.
- Collaboration: Work closely with traders, researchers, and other developers to understand requirements and deliver solutions.
- Code Review: Participate in code reviews to ensure the highest quality of code and adherence to best practices.
- Support: Provide ongoing support and troubleshooting for existing trading systems and models.
Required Skills and Qualifications
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field.
- Programming Proficiency: Strong programming skills in Python and must be comfortable with common dataset libraries e.g. pandas, polars, numpy, duckdb etc.
- Quantitative Skills: Solid understanding of quantitative finance and statistical methods.
- Trading Knowledge: Familiarity with the trading process and financial markets.
- System Design: Experience in designing and implementing high-performance, scalable systems.
- 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 employer: Millennium Management
Contact Detail:
Millennium Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Familiarize yourself with the core trading engine and the specific technologies we use. Understanding our systems will give you a significant advantage during interviews, as you'll be able to discuss how your skills can directly contribute to our projects.
✨Tip Number 2
Brush up on your Python programming skills, especially with libraries like pandas and numpy. Being able to demonstrate your proficiency in these tools will show us that you're ready to hit the ground running in developing trade automation systems.
✨Tip Number 3
Engage with the quantitative finance community online. Participating in forums or contributing to open-source projects can help you build relevant experience and showcase your passion for the field, which is something we highly value.
✨Tip Number 4
Prepare to discuss your problem-solving approach in detail. We appreciate candidates who can articulate their thought process and demonstrate how they tackle complex challenges, especially in a collaborative environment.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Quantitative Developer role. Emphasize your programming proficiency in Python and any experience with trading systems or quantitative finance.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for building trading systems and your understanding of the trading process. Mention specific projects or experiences that demonstrate your problem-solving skills and attention to detail.
Highlight Collaboration Experience: Since the role involves working closely with traders and researchers, include examples of past collaborative projects. This will show your ability to work effectively in a team environment.
Showcase Your Technical Skills: In your application, be sure to mention your familiarity with dataset libraries like pandas, polars, and numpy. Providing examples of how you've used these tools in previous projects can strengthen your application.
How to prepare for a job interview at Millennium Management
✨Show Your Passion for Trading Systems
Make sure to express your enthusiasm for building robust trading systems during the interview. Share any relevant projects or experiences that highlight your dedication to this field.
✨Demonstrate Your Programming Skills
Be prepared to discuss your proficiency in Python and common dataset libraries like pandas and numpy. You might be asked to solve a coding problem, so practice coding challenges beforehand.
✨Understand the Trading Process
Familiarize yourself with the trading process and financial markets. Being able to discuss how your quantitative skills can enhance trading efficiency will set you apart from other candidates.
✨Emphasize Team Collaboration
Highlight your ability to work in a collaborative environment. Provide examples of past experiences where you successfully collaborated with traders, researchers, or developers to deliver solutions.
