At a Glance
- Tasks: Join a dynamic team to analyse data and support trading strategies.
- Company: Leading global investment platform with a focus on systematic trading.
- Benefits: Access to mentorship, professional development, and advanced infrastructure.
- Other info: Collaborative environment with opportunities for networking and training.
- Why this job: Kickstart your career in finance with real-world impact and growth potential.
- Qualifications: Strong academic background in STEM or Finance, coding skills in Python and SQL.
The predicted salary is between 28800 - 48000 £ per year.
Job Description
Graduate Data Analyst / Researcher – Systematic Commodities - Multi Strategy Multi Billion Dollar Hedge Fund - London
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
As a Graduate Data Analyst/Researcher, you will:
- 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.
This role suits individuals who:
- 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.
Graduate Data Analyst / Researcher - Systematic Commodities - Multi Strategy Multi Billion Dollar... in City of London employer: Mondrian Alpha
Join a leading global multi-strategy hedge fund in London, where innovation meets opportunity. With a strong emphasis on technology and a collaborative work culture, employees benefit from extensive growth opportunities, competitive compensation packages, and a supportive environment that prioritises both professional development and personal well-being. Enjoy perks such as fully subsidised meals, comprehensive healthcare, and generous annual leave, making this an exceptional place to advance your career in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst / Researcher - Systematic Commodities - Multi Strategy Multi Billion Dollar... in City of London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Mondrian Alpha when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Mondrian Alpha.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Mondrian Alpha.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Mondrian Alpha’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Data Analyst / Researcher - Systematic Commodities - Multi Strategy Multi Billion Dollar... in City of London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Mondrian Alpha, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Mondrian Alpha aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Mondrian Alpha
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
