At a Glance
- Tasks: Join a dynamic team to develop innovative equity trading strategies using data and technology.
- Company: Top-tier global hedge fund committed to market innovations.
- Benefits: Exciting career growth opportunities in a fast-paced environment.
- Other info: Collaborative culture with a focus on transparency and teamwork.
- Why this job: Make an impact by leveraging cutting-edge tech and data in finance.
- Qualifications: Masters or PhD in a quantitative field with strong Python skills.
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.
Quantitative Researcher, with systematic equity 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 (preferred)
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:
- 3+ years of experience with cash equities strategies doing alpha research.
- 3+ years of experience in equity alpha capture and flow research.
- 3+ years of experience in equity intraday trading.
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, Systematic Equities employer: Millennium
Millennium is an exceptional employer, offering a dynamic and fast-paced environment in the heart of London for Quantitative Researchers in Systematic Equities. With a strong emphasis on collaboration and innovation, employees benefit from excellent career growth opportunities, access to cutting-edge technology, and a culture that encourages entrepreneurial thinking and rigorous scientific methods.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher, Systematic Equities
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have a lead on that perfect Quantitative Researcher role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to systematic equities. This is your chance to demonstrate your coding prowess and analytical skills, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common quantitative research questions and be ready to discuss your past experiences with alpha research and model implementation.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to highlight your experience in systematic equity strategies.
We think you need these skills to ace Quantitative Researcher, Systematic Equities
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Researcher role. Highlight your experience with systematic equities, alpha research, and any relevant programming skills in Python. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research and how your skills can contribute to our team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Technical Skills:Since we value strong programming skills, make sure to include examples of your work with Python-based software tools. If you've developed models or conducted backtesting, let us know! We love seeing practical applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Millennium
✨Know Your Numbers
Make sure you brush up on your quantitative skills and be ready to discuss specific models or strategies you've worked on. Be prepared to explain how you used data to generate alpha and the impact it had on your previous roles.
✨Showcase Your Coding Skills
Since this role requires strong programming skills in Python, come prepared with examples of your work. You might even want to bring snippets of code or projects that demonstrate your ability to develop sophisticated software tools and libraries.
✨Understand the Market Landscape
Familiarise yourself with current trends in systematic equities and be ready to discuss how you would approach idea generation and model implementation. Showing that you’re up-to-date with market innovations will impress the interviewers.
✨Communicate Clearly
As collaboration is key in this role, practice articulating your thoughts clearly and concisely. Be ready to explain complex concepts in a way that’s easy to understand, as effective communication is crucial in a team environment.
