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- Tasks: Develop risk analytics solutions using Java and AWS for a global hedge fund.
- Company: Millennium is a leading hedge fund focused on tech and data-driven solutions.
- Benefits: Enjoy a dynamic work culture, competitive salary, and opportunities for growth.
- Why this job: Join a collaborative team solving complex problems in finance with cutting-edge technology.
- Qualifications: Strong analytical skills, Java experience, and familiarity with cloud services required.
- Other info: Work in a fast-paced environment with teams across major global cities.
The predicted salary is between 43200 - 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 will leverage Java, AWS, and data manipulation libraries to provide data-driven solutions for risk management purposes to stakeholders such as Portfolio Managers, Business Management, and Risk Managers.
Responsibilities:
- Work closely with quants, risk managers, and other technologists in New York, Miami, London, and Singapore to develop risk analytics solutions for our businesses (fixed-income, commodities, equities, etc).
- Build, enhance, and maintain existing Java REST services and related systems.
- Develop data ingestion pipelines and core data systems to provide risk management programmatic access to analytics as well as via web interfaces.
- Create and manage cloud applications on AWS.
- Work with risk management for rapid prototyping and delivery of solutions.
- Fit into the active culture of Millennium, judged by the ability to deliver timely solutions to Portfolio and Risk Managers.
Required skills/experience:
- Strong analytical and mathematical skills, with interest and/or exposure to quantitative finance.
- Good understanding of various design patterns, algorithms, and data structures.
- Substantial experience using modern Java.
- Experience with REST APIs and cloud services.
- Relational SQL database development experience.
- Unix/Linux command-line experience.
- Ability to work independently in a fast-paced environment.
- Detail-oriented, organized, demonstrating thoroughness and strong ownership of work.
Desirable skills/experience:
- Experience working with Python and data analysis libraries (pandas/polars/numpy).
- Experience with financial mathematics, statistics, and broad understanding of financial services/instruments.
- Experience in JavaScript development, especially in AngularJS or ReactJS.
- AWS cloud services: EC2, S3, Aurora, Redshift, etc.
- Prior experience of working directly with risk management/trading functions.
- Bachelor’s degree in Computer Science & Engineering.
Quantitative Developer - Java (Risk Technology) (London) employer: Millennium Management, LLC
Contact Detail:
Millennium Management, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Java (Risk Technology) (London)
✨Tip Number 1
Network with professionals in the finance and technology sectors, especially those who work in risk management. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture at Millennium.
✨Tip Number 2
Familiarise yourself with the latest trends in quantitative finance and risk management technologies. Being able to discuss current innovations and how they can be applied in a practical context will impress your interviewers.
✨Tip Number 3
Brush up on your Java skills, particularly focusing on REST APIs and cloud services like AWS. Consider building a small project that showcases your ability to create data ingestion pipelines or cloud applications to demonstrate your hands-on experience.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on algorithms and data structures. Websites like LeetCode or HackerRank can help you sharpen your problem-solving skills, which are crucial for this role.
We think you need these skills to ace Quantitative Developer - Java (Risk Technology) (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Java, AWS, and data manipulation libraries. Emphasise any relevant projects or roles that demonstrate your analytical skills and understanding of quantitative finance.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Quantitative Developer position at Millennium. Mention specific skills that align with the job description, such as your experience with REST APIs and cloud services, and how they can benefit the Risk Technology team.
Showcase Relevant Projects: If you have worked on projects involving risk analytics solutions or data ingestion pipelines, be sure to include these in your application. Describe your role, the technologies used, and the impact of your work.
Highlight Team Collaboration: Since the role involves working closely with quants and risk managers across various locations, mention any previous experiences where you successfully collaborated with cross-functional teams. This will demonstrate your ability to fit into the active culture at Millennium.
How to prepare for a job interview at Millennium Management, LLC
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Java, AWS, and data manipulation libraries in detail. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to handle the responsibilities of the role.
✨Understand Risk Management Concepts
Familiarise yourself with risk management principles and how they apply to quantitative finance. Being able to discuss relevant concepts will show that you understand the business context and can effectively communicate with stakeholders like Portfolio Managers and Risk Managers.
✨Demonstrate Problem-Solving Abilities
Prepare to tackle hypothetical scenarios or case studies during the interview. This will allow you to showcase your analytical skills and ability to develop data-driven solutions, which are crucial for the Quantitative Developer position.
✨Cultural Fit and Team Collaboration
Millennium values a collaborative culture, so be ready to discuss your experiences working in teams across different locations. Emphasise your ability to deliver timely solutions and adapt to fast-paced environments, as this aligns with their expectations.
