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- Tasks: Develop risk analytics solutions using Python and AWS for equity derivatives.
- Company: Millennium is a leading global hedge fund focused on tech and data science innovations.
- Benefits: Enjoy a collaborative culture, mentorship opportunities, and the chance to work with cutting-edge technology.
- Why this job: Join a dynamic team at the forefront of finance and technology, making impactful contributions.
- Qualifications: 5+ years in Python, cloud services, and system design; strong analytical skills required.
- Other info: Ideal for detail-oriented individuals who thrive in fast-paced environments.
The predicted salary is between 144000 - 252000 £ per year.
Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. The Risk Technology team is looking for a Quantitative Developer who would leverage Python, Cloud infrastructure (AWS), and scientific frameworks to provide data-driven, risk management solutions to Risk Managers, Portfolio Managers, and Business Management.
Responsibilities:
- Work in the intersection of Portfolio Management, Risk Management and Quantitative Research to develop risk analytics solutions for Equity Derivatives businesses.
- Collaborate with risk management for rapid prototyping and delivery of solutions to enhance risk metrics.
- Develop data ingestion pipelines and analytics on the generated information.
- Design and implement cloud-native, data-intensive applications that effectively leverage AWS solutions.
- Mentor junior team members, fostering growth and collaboration within the team.
- Fit into the active culture of Millennium, judged by the ability to deliver timely solutions to Portfolio and Risk Managers.
Required Skills/Experience:
- Minimum 5 years of experience using Python and scientific python libraries (e.g., pandas, NumPy, SciPy).
- Strong understanding of cloud infrastructure and experience working with cloud services (e.g., AWS, Azure, or GCP).
- Prior experience in system design and data modeling, with the ability to architect scalable and efficient solutions for trading, risk management or similar functions.
- Strong analytical and mathematical skills, with interest and exposure to quantitative finance and equity derivative products (desirable).
- Relational database development experience, with a focus on designing efficient schemas and optimizing queries.
- Unix/Linux command-line experience.
- Ability to work independently in a fast-paced environment.
- Detail-oriented, organized, demonstrating thoroughness and strong ownership of work.
Quantitative Developer - Python (London) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Python (London)
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and risk management. Understanding the current challenges and innovations in these areas will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the finance and technology sectors, especially those working in hedge funds or risk management. Attend industry events or webinars to make connections that could lead to referrals.
✨Tip Number 3
Brush up on your Python skills, particularly with scientific libraries like pandas and NumPy. Consider working on personal projects or contributing to open-source projects to showcase your expertise.
✨Tip Number 4
Prepare to discuss your experience with cloud infrastructure, particularly AWS. Be ready to provide examples of how you've designed and implemented cloud-native applications in previous roles.
We think you need these skills to ace Quantitative Developer - Python (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and scientific libraries like pandas, NumPy, and SciPy. Emphasise any relevant projects or roles that showcase your skills in quantitative finance and risk management.
Craft a Strong Cover Letter: In your cover letter, explain why you're interested in the Quantitative Developer role at Millennium. Mention your experience with cloud infrastructure, particularly AWS, and how it relates to the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on projects involving data ingestion pipelines or cloud-native applications, be sure to include these in your application. Detail your role and the impact of your contributions to demonstrate your capabilities.
Highlight Soft Skills: Millennium values collaboration and mentorship. Include examples of how you've worked independently in fast-paced environments and any experience mentoring junior team members to show you fit into their active culture.
How to prepare for a job interview at Placed
✨Showcase Your Python Skills
Make sure to highlight your experience with Python and scientific libraries like pandas, NumPy, and SciPy. Be prepared to discuss specific projects where you've used these tools to solve complex problems.
✨Demonstrate Cloud Knowledge
Since the role involves cloud infrastructure, brush up on your knowledge of AWS or similar services. Be ready to explain how you've implemented cloud-native applications in past roles.
✨Prepare for Technical Questions
Expect technical questions related to system design and data modelling. Practice explaining your thought process when architecting scalable solutions, especially in trading or risk management contexts.
✨Emphasise Team Collaboration
Millennium values collaboration, so be sure to share examples of how you've worked effectively in teams. Discuss any mentoring experiences you have, as this will show your ability to foster growth within a team.
