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- Tasks: Develop and enhance our core trading engine while implementing trade automation systems.
- Company: Join Millennium, a leading investment management firm known for innovation and excellence.
- Benefits: Enjoy a full-time role with competitive salary and opportunities for growth in a dynamic environment.
- Why this job: Be part of a collaborative team driving impactful trading solutions in the fast-paced finance sector.
- Qualifications: Bachelor’s or Master’s in Computer Science, Mathematics, or related fields; strong Python skills required.
- Other info: Ideal for detail-oriented individuals passionate about quantitative finance and trading systems.
The predicted salary is between 120000 - 180000 £ per year.
Join to apply for the Quantitative Developer role at Millennium. 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.
Quantitative Developer (London) employer: Millennium
Contact Detail:
Millennium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer (London)
✨Tip Number 1
Familiarise yourself with the core trading engine and automation systems. Understanding how these systems work will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the quantitative finance field. Attend industry meetups or webinars to connect with current Quant Developers and gain insights into their experiences at Millennium.
✨Tip Number 3
Brush up on your Python skills, especially with libraries like pandas and numpy. Consider working on personal projects that involve data analysis or trading algorithms to showcase your programming proficiency.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to quantitative finance. Websites like LeetCode or HackerRank can be great resources to sharpen your problem-solving skills.
We think you need these skills to ace Quantitative Developer (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Quantitative Developer role. Emphasise your programming proficiency in Python and any experience with dataset libraries like pandas or numpy.
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 quantitative skills and problem-solving abilities.
Showcase Your Technical Skills: In your application, include examples of your work with high-performance, scalable systems. If you have experience in code reviews or collaborating with teams, be sure to mention these as they are crucial for this role.
Highlight Your Work Ethic: Demonstrate your commitment to excellence and ability to manage multiple tasks. Use specific examples from your past experiences to illustrate your hard-working nature and attention to detail.
How to prepare for a job interview at Millennium
✨Showcase Your Technical Skills
Be prepared to discuss your programming proficiency, especially in Python. Highlight your experience with libraries like pandas and numpy, and be ready to solve coding challenges during the interview.
✨Demonstrate Quantitative Knowledge
Make sure you can articulate your understanding of quantitative finance and statistical methods. Be ready to discuss how you've applied these concepts in previous projects or roles.
✨Understand the Trading Process
Familiarise yourself with the trading process and financial markets. Showing that you have a grasp of how trading systems operate will set you apart from other candidates.
✨Emphasise Team Collaboration
Since this role involves working closely with traders and researchers, highlight your teamwork skills. Share examples of how you've successfully collaborated on projects in the past.
