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- Tasks: Join a dynamic team to develop innovative trading strategies using machine learning.
- Company: Millennium is a leading global hedge fund focused on technology and data-driven investments.
- Benefits: Enjoy excellent career growth opportunities in a fast-paced, collaborative environment.
- Why this job: Be part of a cutting-edge team that values creativity and scientific methods in finance.
- Qualifications: Masters or PhD in a quantitative field with strong Python programming skills required.
- Other info: Ideal for those with 2+ years in equity strategies and machine learning research.
The predicted salary is between 48000 - 72000 £ per year.
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
Job Description: Quantitative Researcher, with machine learning experience, as part of a collaborative team based in London on systematic equity trading. This collaborative and entrepreneurial systematic investment team is seeking a strong equities quantitative researcher to join in developing new signals and strategies. This opportunity provides a dynamic and fast-paced environment with excellent opportunities for career growth.
Location: London
Principal Responsibilities:
- Working alongside the SPM on alpha research, with a primary focus on: idea generation, data gathering and research/analysis, model implementation and backtesting for systematic equity strategies.
- Combine rigorous scientific methods and machine learning or statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process.
- Develop and improve sophisticated python-based software tools and libraries for machine learning researches.
- Write and maintain neat, modular code on a jointly owned codebase of significant size and complexity.
- Collaborate with the SPM in a transparent environment, engaging with the whole investment process.
Preferred Technical Skills:
- Strong research and programming skills in Python and experience working on sophisticated Python-based software tools and libraries in a fast changing environment.
- Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related fields from a top ranked university.
- Demonstrate excellent communication, analytical and quantitative skills.
Preferred Experience:
- 2+ years of experience with cash equities strategies doing alpha research.
- 2+ years of experience in machine learning based quantitative equity alpha research, and back testing.
Highly Valued Relevant Experience:
- Demonstrated ability to understand fundamental and event related data and experience with alternative data sources.
- Strong economic intuition and critical thinking.
- Product experience in statistical arbitrage strategies.
- Product experience with machine learning based alphas would be valued.
Target Start Date: As soon as possible.
Quantitative Researcher with Machine Learning experience, Systematic Equities employer: Millennium Management
Contact Detail:
Millennium Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher with Machine Learning experience, Systematic Equities
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and quantitative research, especially as they relate to systematic equities. This will not only help you understand the role better but also allow you to engage in informed discussions during interviews.
✨Tip Number 2
Network with professionals in the hedge fund industry, particularly those working in quantitative research. Attend relevant conferences or webinars where you can meet potential colleagues and learn more about the specific challenges and innovations in systematic equity trading.
✨Tip Number 3
Showcase your programming skills by contributing to open-source projects or creating your own machine learning tools. This practical experience can set you apart and demonstrate your ability to develop sophisticated Python-based software, which is crucial for this role.
✨Tip Number 4
Prepare to discuss your previous experiences with alpha research and backtesting in detail. Be ready to explain your thought process, methodologies used, and the outcomes of your projects, as this will highlight your analytical and quantitative skills to the hiring team.
We think you need these skills to ace Quantitative Researcher with Machine Learning experience, Systematic Equities
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative research and machine learning. Focus on relevant projects, particularly those involving Python programming and systematic equity strategies.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their focus on alpha research and your experience with machine learning techniques.
Showcase Relevant Projects: Include specific examples of past projects where you developed predictive models or worked with large datasets. Highlight any experience with backtesting and the tools you used.
Highlight Communication Skills: Since collaboration is key in this role, emphasise your ability to communicate complex ideas clearly. Mention any experiences where you worked in teams or presented your findings.
How to prepare for a job interview at Millennium Management
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any sophisticated software tools you've developed. Highlight specific projects where you've implemented machine learning techniques, as this will demonstrate your hands-on expertise.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and quantitative skills. Practice explaining your thought process when tackling complex problems, especially those related to alpha research and backtesting strategies.
✨Demonstrate Collaboration Skills
Since the role involves working closely with a team, be ready to share examples of how you've successfully collaborated in previous roles. Emphasise your ability to communicate effectively and engage with others in a transparent environment.
✨Understand the Company’s Investment Philosophy
Research Millennium's approach to systematic equities and their use of technology in trading. Being knowledgeable about their strategies and values will show your genuine interest in the position and help you align your answers with their goals.
