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- Tasks: Join a dynamic team to develop innovative trading strategies in commodities and global markets.
- Company: Millennium is a leading hedge fund focused on technology and data-driven investment strategies.
- Benefits: Enjoy a competitive salary, performance bonuses, and a comprehensive benefits package with flexible work options.
- Why this job: Be part of a collaborative environment that fosters growth and innovation in the finance sector.
- Qualifications: Bachelor's, Master's, or PhD in STEM; strong Python skills; 2-4 years in quantitative research preferred.
- Other info: Location is flexible, with a slight preference for Switzerland.
The predicted salary is between 84000 - 140000 £ per year.
Commodities Quantitative Researcher, Systematic Global Macro
Please direct all resume submissions to and reference REQ-18098 in the subject.
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.
A small, collaborative, and entrepreneurial systematic investment team is seeking a strong commodities 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.
Job Description
Quantitative Researcher as part of a small, collaborative systematic global macro team with a focus on applying cutting edge techniques to strategies across the commodities, fixed income, and FX space.
Location
Flexible, with slight preference for Switzerland
Principal Responsibilities
- Identify and onboard new global markets and datasets
- Analyze and manipulate large and diverse data sets for idea generation and alpha research with a focus on the commodities space
- Research and develop signals, leveraging a variety of market and fundamental datasets, to be deployed in systematic trading strategies
- Collaborate with the Senior Portfolio Manager and team in a transparent environment, engaging with the whole investment process from idea generation through execution with a focus on the Global Commodities space
Preferred Technical Skills
- Strongly skilled in Python
- Experience programming in C is a plus
- Bachelor, Master’s, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field
- Excellent communication, analytical, and problem-solving skills
Preferred Experience
- 2-4 years of experience working in a quantitative research capacity with a focus on Ags, Energy, Metals, Fixed Income, FX, or Equity Index strategies
- Experience working with large and diverse data sets, specifically data sets associated with the commodity markets
- Commodities market experience modeling futures curves and/or cross-market relationships
Highly Valued Relevant Experience
- Experience in quantitative, econometrics, asset pricing, or macro sub-fields
- Experience with machine learning, statistical techniques and related libraries
Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $100,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. #J-18808-Ljbffr
Commodities Quantitative Researcher, Systematic Global Macro employer: Millennium
Contact Detail:
Millennium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commodities Quantitative Researcher, Systematic Global Macro
✨Tip Number 1
Familiarise yourself with the latest trends in commodities markets. Understanding current events and how they impact commodity prices can give you an edge during interviews, showing your passion and knowledge about the field.
✨Tip Number 2
Network with professionals in the quantitative research space, especially those focused on commodities. Attend industry conferences or webinars to connect with potential colleagues and learn more about the skills and experiences that are valued in this role.
✨Tip Number 3
Brush up on your programming skills, particularly in Python and C. Being able to demonstrate your technical abilities through practical examples or projects can significantly enhance your candidacy.
✨Tip Number 4
Prepare to discuss your experience with large datasets and any relevant projects you've worked on. Be ready to explain your analytical approach and how it relates to generating trading signals in the commodities market.
We think you need these skills to ace Commodities Quantitative Researcher, Systematic Global Macro
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, particularly in commodities and systematic strategies. Emphasise your technical skills in Python and any experience with C programming.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for commodities research and your understanding of the market. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Highlight Relevant Experience: In your application, focus on your 2-4 years of experience in quantitative research, especially if it involves commodities, fixed income, or FX. Provide examples of how you've worked with large datasets and developed trading signals.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents to eliminate any errors. A polished application reflects attention to detail, which is crucial in quantitative research roles.
How to prepare for a job interview at Millennium
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any experience with C programming. Be prepared to discuss specific projects where you've applied these skills, especially in relation to data analysis and quantitative research.
✨Demonstrate Market Knowledge
Familiarise yourself with current trends in the commodities market. Be ready to discuss how you would approach analysing different datasets and generating trading signals, as this will show your understanding of the role's requirements.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical and problem-solving abilities. Practice explaining your thought process when tackling complex data sets or developing new strategies, as this will demonstrate your critical thinking skills.
✨Engage in Collaborative Scenarios
Since the role involves working closely with a team, be prepared to discuss your experiences in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals, particularly in a fast-paced setting.
