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For Companies At a Glance
- Tasks: Join a dynamic team to analyse data and support trading strategies.
- Company: Leading global investment platform with a focus on innovation.
- Benefits: Competitive salary, mentorship, and professional development opportunities.
- Why this job: Kickstart your career in systematic trading with real-world impact.
- Qualifications: Strong academic background in STEM, Finance, or Computer Science; coding skills in Python and SQL.
- Other info: Access to advanced infrastructure and networking opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Overview
We are working with a leading global investment platform to identify a Graduate Data Analyst/Researcher to join their Systematic Commodities team. This is an excellent opportunity for a highly motivated graduate to start a career in systematic trading, with strong potential to evolve into a Quantitative Researcher or Developer depending on fit and progression.
You will gain close exposure to an agile, high-performing team of quantitative researchers, developers, and a portfolio manager, with direct involvement in the research and trading process.
The Role
- Onboard new datasets into the research ecosystem, including ingestion, cleaning, and enriching with metadata.
- Collaborate with developers to create scalable data pipelines and quality checks.
- Monitor daily data processes to ensure smooth trading operations.
- Apply statistical methods and research intuition to generate new data features for trading signal research.
- Build visualisations and reports to support portfolio management decisions.
- Incorporate unstructured data sources such as research reports and market commentary.
Required
- Outstanding academic results at Bachelors or Masters level in a STEM, Finance/Economics, or Computer Science discipline.
- Strong coding ability in Python and SQL.
- Solid foundation in statistics.
Preferred
- Demonstrated interest or experience in commodities trading, finance, or investment.
- Participation in data competitions (e.g. Kaggle, DataCamp) or other applied data projects.
Support & Development
- Access to a robust data lakehouse and advanced infrastructure.
- Mentorship from experienced quantitative researchers and developers.
- Firm support for continuing professional development (courses, conferences, training).
- Broader early-career training, networking, and development opportunities across the platform.
Role fit
- Combine intellectual ability with grit, humility, and a high work ethic.
- Learn quickly, adapt, and intuitively understand team needs.
- Are detail-oriented, pragmatic, and resourceful in delivering solutions.
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Engineering, Finance, and Information Technology
Industries
- Financial Services, Investment Management, and IT Services and IT Consulting
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Graduate Data Analyst / Researcher – Systematic Commodities - Multi Strategy Multi Billion Doll[...] employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst / Researcher – Systematic Commodities - Multi Strategy Multi Billion Doll[...]
✨Tip Number 1
Network like a pro! Reach out to professionals in the systematic trading space on LinkedIn or at industry events. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects, especially in Python and SQL. This is your chance to demonstrate your abilities beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on statistical methods and data visualisation techniques. Be ready to discuss how you would approach real-world problems in trading.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Graduate Data Analyst / Researcher – Systematic Commodities - Multi Strategy Multi Billion Doll[...]
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills in Python and SQL right from the get-go. We want to see how you can apply your technical know-how to real-world problems, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention any relevant projects or competitions you've participated in, especially those related to data analysis or commodities trading. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Data
Make sure you brush up on your knowledge of data analysis and statistics. Be prepared to discuss how you've used Python and SQL in your projects, especially if you've participated in competitions like Kaggle. This will show your passion and readiness for the role.
✨Understand the Role
Familiarise yourself with systematic trading and the commodities market. Research the company’s approach to trading and be ready to discuss how you can contribute to their team. Showing that you understand the industry will set you apart from other candidates.
✨Prepare Questions
Have a few insightful questions ready to ask your interviewers. This could be about their data processes or how they incorporate unstructured data into their research. It shows you're genuinely interested and engaged with the role.
✨Show Your Team Spirit
Since this role involves collaboration with developers and researchers, highlight any past experiences where you worked in a team. Discuss how you adapt to team needs and contribute to achieving common goals. This will demonstrate your fit within their agile environment.
