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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 science innovations.
- Benefits: Enjoy a dynamic work culture, mentorship opportunities, and the chance to impact financial strategies.
- Why this job: Be part of a cutting-edge team that values collaboration and rapid solution delivery in finance.
- 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 48000 - 72000 £ per year.
Quantitative Developer – Python
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.
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, 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 enhancement risk metrics.
· Develop data ingestion pipelines and analytics 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, NumpPy, 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.
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Quantitative Developer - Python. (London) employer: Millennium Management
Contact Detail:
Millennium Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Python. (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 get referrals, which can significantly boost your chances of landing an interview.
✨Tip Number 3
Prepare to discuss your experience with data ingestion pipelines and analytics. Be ready to share specific examples of how you've implemented these in past roles, as this will demonstrate your ability to deliver solutions that align with the responsibilities outlined in the job.
✨Tip Number 4
Showcase your mentoring experience if you have it. Highlight any instances where you've helped junior team members grow, as this aligns with the company's culture of collaboration and could set you apart from other candidates.
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 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 Mentorship Experience: Since the role involves mentoring junior team members, mention any previous experience you have in this area. Discuss how you have contributed to team growth and collaboration, which will demonstrate your fit within Millennium's active culture.
How to prepare for a job interview at Millennium Management
✨Showcase Your Python Expertise
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, as this will demonstrate your technical proficiency.
✨Demonstrate Cloud Knowledge
Since the role involves working with cloud infrastructure, brush up on your knowledge of AWS or similar services. Be ready to explain how you've implemented cloud solutions in past projects, focusing on scalability and efficiency.
✨Prepare for Technical Questions
Expect technical questions related to system design and data modelling. Review concepts around architecting scalable solutions and be prepared to discuss your approach to designing efficient schemas and optimising queries.
✨Emphasise Collaboration and Mentorship
The role requires collaboration with various teams and mentoring junior members. Share examples of how you've worked in a team environment and contributed to the growth of others, showcasing your ability to foster a collaborative culture.
