At a Glance
- Tasks: Join a dynamic team to develop innovative trading strategies in commodities.
- Company: Entrepreneurial investment team with a collaborative spirit.
- Benefits: Competitive salary, performance bonuses, and comprehensive benefits package.
- Other info: Flexible location with excellent career growth opportunities.
- Why this job: Make an impact in the fast-paced world of global commodities trading.
- Qualifications: Strong Python skills and a degree in a STEM field required.
The predicted salary is between 75000 - 150000 £ per year.
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.
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
- Strongly skilled in Python
- Experience programming in C is a plus
- Bachelor, Master, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field
- Excellent communication, analytical, and problem‑solving skills
- 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
- 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.
Trading Systems Analyst employer: Quant Blueprint LLC
Join a small, innovative team in Switzerland that values collaboration and entrepreneurial spirit, offering a dynamic environment for a Trading Systems Analyst. With a strong focus on career growth, you will have the opportunity to engage in meaningful projects that shape systematic trading strategies in the commodities market. Enjoy a competitive compensation package, comprehensive benefits, and the chance to work with diverse datasets while contributing to impactful research.
StudySmarter Expert Advice🤫
We think this is how you could land Trading Systems Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the commodities space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or research, make sure to share it. It’s a great way to demonstrate your expertise in Python and data analysis.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of market trends and quantitative methods. Be ready to discuss how you’d approach developing new signals in a systematic trading strategy.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace Trading Systems Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Trading Systems Analyst role. Highlight your experience with commodities and quantitative research, and don’t forget to showcase your Python skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about commodities and how your background fits with our systematic investment approach. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Projects:If you've worked on any projects related to data analysis or trading strategies, make sure to mention them. We’re interested in seeing how you’ve applied your skills in real-world scenarios, especially in the commodities space.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Quant Blueprint LLC
✨Know Your Data
Make sure you’re well-versed in the types of datasets relevant to commodities. Brush up on how to analyse and manipulate large data sets, as this will likely come up during your interview. Be ready to discuss specific examples of how you've used data to generate ideas or strategies.
✨Showcase Your Coding Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. If you have experience with C, mention it, as it could give you an edge!
✨Understand the Market
Familiarise yourself with current trends in the commodities market. Be prepared to discuss recent developments and how they might impact trading strategies. Showing that you’re engaged with the market will impress your interviewers.
✨Communicate Clearly
Excellent communication skills are key in this role. Practice explaining complex concepts in simple terms, as you’ll need to collaborate with various team members. During the interview, make sure to articulate your thought process clearly when discussing your research and findings.
