At a Glance
- Tasks: Join a team to develop cutting-edge trading strategies using machine learning.
- Company: Millennium is a leading global hedge fund focused on tech-driven market innovations.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Other info: Work in London or Dubai and collaborate with top-tier professionals.
- Why this job: Be part of a fast-paced culture that values creativity and analytical thinking.
- Qualifications: Bachelor's or Master's in STEM; 3+ years in systematic trading and data manipulation.
The predicted salary is between 48000 - 84000 £ per year.
Quantitative Researcher, Systematic EquitiesMillennium 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 DescriptionQuantitative 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.LocationLondon (preferred)Principal ResponsibilitiesWorking 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 strategiesCombine 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 processDevelop and improve sophisticated python-based software tools and libraries for machine learning researchesWrite and maintain neat, modular code on a jointly owned codebase of significant size and complexityCollaborate with the SPM in a transparent environment, engaging with the whole investment processPreferred Technical SkillsStrong research and programming skills in Python and experience working on sophisticated Python-based software tools and libraries in a fast changing environmentMasters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related fields from a top ranked universityDemonstrate excellent communication, analytical and quantitative skillsPreferred Experience3+ years of experience with cash equities strategies doing alpha research3+ years of experience in equity alpha capture and flow research3+ years of experience in equity intraday tradingHighly Valued Relevant ExperienceDemonstrated ability to understand fundamental and event related data and experience with alternative data sourcesStrong economic intuition and critical thinkingProduct experience in statistical arbitrage strategiesProduct experience with machine learning based alphas would be valuedTarget Start DateAs soon as possibleRecruiter:Brian KimmelHiring Manager:Zhenhai LiDepartment:Trading
Quantitative Researcher, Systematic Equities in London employer: Millennium Management
As a KDB Developer - Equities, you will join a dynamic front office team that thrives on innovation and collaboration, working in a fast-paced environment that values your contributions. Our company offers a supportive work culture with ample opportunities for professional growth, mentorship from experienced developers, and the chance to work on cutting-edge technology platforms that are pivotal to our trading operations. Located in a vibrant financial hub, we provide a unique opportunity to engage directly with investment professionals while enjoying a competitive benefits package and a commitment to work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher, Systematic Equities in London
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and quantitative finance. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the hedge fund industry, especially those working in systematic trading. Attend relevant conferences or webinars to make connections and gain insights that could give you an edge in your application.
✨Tip Number 3
Prepare to showcase your technical skills by working on personal projects or contributing to open-source initiatives related to quantitative research. This hands-on experience can be a great talking point in interviews.
✨Tip Number 4
Practice explaining complex concepts in simple terms. As communication is key in this role, being able to articulate your ideas clearly will help you stand out during discussions with the Senior Portfolio Manager.
We think you need these skills to ace Quantitative Researcher, Systematic Equities in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in quantitative research and systematic trading. Emphasise your proficiency in Python and any machine learning projects you've worked on, as well as your familiarity with data science tools like Jupyter and pandas.
Craft a Strong Cover Letter:In your cover letter, express your enthusiasm for the role and Millennium as a company. Discuss how your background aligns with their focus on leveraging technology and data for trading strategies. Mention specific experiences that demonstrate your analytical skills and problem-solving abilities.
Showcase Relevant Projects:If you have worked on projects involving machine learning or statistical analysis, include them in your application. Describe your role, the techniques used, and the outcomes. This will help illustrate your hands-on experience and understanding of the field.
Highlight Soft Skills:Millennium values communication and collaboration. In your application, mention instances where you've successfully worked in cross-functional teams or adapted to fast-paced environments. This will show that you possess the interpersonal skills necessary for the role.
How to prepare for a job interview at Millennium Management
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in data science tools like Jupyter, pandas, and Python during the interview. Be prepared to discuss specific projects where you've implemented machine learning techniques or worked with large datasets.
✨Demonstrate Your Problem-Solving Abilities
Quantitative roles require strong analytical skills. Prepare examples of how you've tackled complex problems in previous positions, particularly in systematic trading or data manipulation. This will show your critical thinking and adaptability.
✨Communicate Clearly
Effective communication is key, especially when collaborating with cross-functional teams. Practice explaining your research and findings in a clear and concise manner, as this will be crucial in conveying complex concepts to non-technical stakeholders.
✨Express Your Curiosity and Eagerness to Learn
Millennium values candidates who are self-motivated and eager to grow. Share your passion for quantitative finance and any recent learning experiences or projects that demonstrate your commitment to continuous improvement in the field.
