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- Tasks: Develop risk analytics solutions using Python and AWS for Portfolio and Risk Management.
- Company: Join Millennium, a leading global hedge fund focused on tech and data-driven solutions.
- Benefits: Enjoy a dynamic work culture, mentorship opportunities, and the chance to innovate in finance.
- Why this job: Be part of a cutting-edge team that values collaboration and rapid problem-solving.
- Qualifications: 5+ years in Python, cloud services, and system design; analytical skills are a plus.
- Other info: Ideal for those passionate about quantitative finance and eager to make an impact.
The predicted salary is between 48000 - 72000 £ 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 analyse 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 (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Python (Basé à London)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, especially Python and AWS. Consider building a small project that showcases your skills in these areas, as practical examples can really impress during discussions.
✨Tip Number 2
Network with professionals in the finance and tech sectors, particularly those who work in quantitative roles. Attend relevant meetups or webinars to gain insights and potentially make connections that could lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in quantitative finance and risk management. Reading industry publications or following thought leaders on social media can provide you with valuable talking points during interviews.
✨Tip Number 4
Prepare to discuss your previous projects and experiences in detail, especially those that involved data ingestion pipelines or cloud-native applications. Be ready to explain your thought process and the impact of your work on the business.
We think you need these skills to ace Quantitative Developer - Python (Basé à London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and scientific libraries like pandas and NumPy. 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 are interested in the Quantitative Developer position at Millennium. Mention your experience with cloud infrastructure, particularly AWS, and how it relates to the role. Be specific about your achievements and how they align with the company's goals.
Showcase Relevant Projects: If you have worked on projects involving data ingestion pipelines or cloud-native applications, include these in your application. Describe your role, the technologies used, and the impact of your work on the project outcomes.
Highlight Soft Skills: Mention your ability to mentor junior team members and collaborate effectively within a team. Highlight your detail-oriented nature and how it has helped you deliver timely solutions in previous roles.
How to prepare for a job interview at Golden Bees
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python and scientific libraries like pandas, NumPy, and SciPy. You might be asked to solve coding problems or explain how you've used these tools in past projects.
✨Demonstrate Cloud Knowledge
Since the role involves cloud infrastructure, brush up on your knowledge of AWS and other cloud services. Be ready to discuss specific projects where you implemented cloud solutions and how they improved efficiency.
✨Understand Risk Management Concepts
Familiarise yourself with risk management principles and quantitative finance, especially related to equity derivatives. This will help you articulate how your skills can contribute to the team's objectives.
✨Prepare for Team Collaboration Questions
As mentoring junior team members is part of the role, think of examples where you've collaborated or led a team. Highlight your ability to foster growth and how you handle feedback and challenges within a team setting.
