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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 competitive salary, collaborative culture, and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving financial technology and making a real impact in trading.
- Qualifications: Bachelor’s or Master’s in relevant fields with strong Python skills and quantitative finance knowledge.
- Other info: Ideal for hard-working individuals passionate about trading systems and teamwork.
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 employer: Millennium
Contact Detail:
Millennium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Familiarise yourself with the core trading engine and automation systems used in the industry. Understanding how these systems work will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the quantitative finance field, especially those who work at Millennium or similar firms. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during the application process.
✨Tip Number 3
Brush up on your Python skills, particularly with libraries like pandas and numpy. Consider working on personal projects that involve data analysis or trading algorithms to showcase your programming proficiency and problem-solving abilities.
✨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 skills and get comfortable with the types of questions you might face.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills, particularly in Python, and any experience you have with quantitative finance. Emphasise your familiarity with trading processes and any relevant projects you've worked on.
Craft a Strong Cover Letter: In your cover letter, express your passion for building robust trading systems and your dedication to excellence. Mention specific experiences that demonstrate your problem-solving skills and attention to detail.
Showcase Relevant Projects: If you've worked on any projects related to trading systems or quantitative analysis, be sure to include them in your application. Describe your role, the technologies used, and the impact of your work.
Highlight Team Collaboration: Since the role involves collaboration with traders and researchers, mention any previous experiences where you successfully worked in a team environment. Highlight your communication skills and ability to understand and deliver on requirements.
How to prepare for a job interview at Millennium
✨Showcase Your Technical Skills
Make sure to highlight your programming proficiency, especially in Python and relevant libraries like pandas and numpy. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your capability to develop and maintain trading systems.
✨Understand the Trading Process
Familiarise yourself with the trading process and financial markets. During the interview, be ready to discuss how your understanding of these concepts can contribute to building robust trading systems and automations.
✨Emphasise Collaboration
Since the role involves working closely with traders and researchers, express your ability to collaborate effectively. Share examples of past experiences where teamwork led to successful project outcomes, showcasing your communication skills.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your analytical skills and attention to detail, as these are crucial for troubleshooting existing trading systems.
