At a Glance
- Tasks: Join a dynamic team to develop innovative trading signals and strategies in commodities.
- Company: Entrepreneurial investment team with a collaborative and transparent culture.
- Benefits: Competitive salary, performance bonuses, and comprehensive benefits package.
- Other info: Flexible location with excellent opportunities for career advancement.
- Why this job: Make an impact in the fast-paced world of commodities trading and grow your career.
- Qualifications: Strong Python skills and experience in quantitative research preferred.
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 in London employer: Quant Blueprint LLC
Join a dynamic and entrepreneurial systematic investment team that values collaboration and innovation in the heart of Switzerland. With a strong focus on career growth, you will have the opportunity to engage in meaningful projects that shape the future of commodities trading while enjoying a comprehensive benefits package and a transparent work culture that encourages open communication and idea sharing.
StudySmarter Expert Advice🤫
We think this is how you could land Trading Systems Analyst in London
✨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 analyses, share them during interviews. It’s a great way to demonstrate your expertise in Python and data manipulation.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of market trends and quantitative methods. Being able to discuss these confidently will set you apart from the crowd.
✨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 in London
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 aligns with our needs. Keep it concise but engaging – we love a good story!
Showcase Your Projects:If you've worked on relevant projects or have experience with large datasets, make sure to include them in your application. We’re keen to see how you’ve applied your skills in real-world scenarios, especially in systematic trading.
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 you’re serious about 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 manipulate and analyse 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, don’t forget to mention it!
✨Understand the Market
Familiarise yourself with current trends in the commodities market. Be prepared to discuss recent developments and how they could impact trading strategies. Showing that you’re engaged with the market will impress your interviewers.
✨Collaborative Mindset
This role involves working closely with a team, so highlight your collaborative experiences. Share examples of how you’ve successfully worked in a team environment, especially in generating ideas or executing strategies. A transparent and communicative approach will resonate well.
