At a Glance
- Tasks: Build data infrastructure and automate reporting processes that drive investment decisions.
- Company: Rapidly growing investment firm managing over €1 billion in assets.
- Benefits: Competitive graduate salary, real mentorship, and meaningful work from day one.
- Other info: Work with experienced investors and develop skills for a serious analytics career.
- Why this job: Gain genuine autonomy and ownership while shaping impactful decisions.
- Qualifications: Strong quantitative degree, A-Level grades of AAA, and right to work in the UK.
The predicted salary is between 25000 - 32000 £ per year.
Your first job out of university doesn't have to be sitting in a support queue.
Most graduate analyst roles are about executing tasks someone else designed. This one is about building the infrastructure.
A rapidly growing investment firm managing €1 billion+ in assets is looking for an exceptional graduate to join its deliberately small Data & Analytics team.
From day one, you will own meaningful problems, shape decisions that have lasting impact, and work directly with the people running the business.
This is the rare graduate role where you won't spend your first year learning the ropes; you'll spend it building something that matters.
Why this opportunity is different
Real ownership from day one.
The firm's Data & Analytics team is intentionally small.
That means there's no hierarchy of busywork between you and meaningful work.
You will build data infrastructure, improve legacy datasets, and automate reporting processes that directly serve the investment team.
Your work enables faster decisions, better analysis, and more sophisticated investment strategies.
Working with people who actually know finance.
Your Data Analytics Manager and the senior stakeholders you work with every day are serious investors and operators.
You'll learn how investment decisions actually get made, see real market data, understand the commercial impact of your work.
This beats watching a corporate training video by about a thousand miles.
Genuine Autonomy
The firm operates with an entrepreneurial culture and expects you to be a self-starter.
You identify problems, propose solutions, and implement them with minimal oversight.
That's terrifying if you're used to being micromanaged.
It's incredibly empowering if you want to actually learn and grow.
Building a portfolio that matters.
After your first year, you will have built real data infrastructure, improved critical reporting systems, and solved problems that directly impacted the fund's operations.
That's what employers actually care about when you're looking for your next role.
- What you'll actually do
- Data Infrastructure & Tooling
- Identify and improve legacy datasets that are holding the business back
- Build and enhance internal data infrastructure supporting investment analysis
- Work with Azure, Python, SQL and analytics tools to create reliable, scalable systems
- Develop automated reporting processes that save time and improve accuracy
- Contribute to the firm's data strategy as it grows
- Analytics & Reporting
- Deliver analysis and reports that inform real investment decisions
- Work directly with the investment team and back-office to understand their needs
- Transform raw data into insights that drive better decision-making
- Learn how professional investors think about risk, opportunity, and markets
- Learning & Growth
- Work on a wide variety of problems across investment analytics, operations, and reporting
- Learn hands‑on from experienced investors and data professionals
- Be exposed to the full lifecycle of investment decisions, from sourcing through monitoring
- Develop skills that will set you apart in your analytics career
What you bring
- A strong undergraduate degree (2.1 or above) in a quantitative subject from a redbrick university
- A‑Level grades of AAA or above, including A‑Level Maths
- Final year student or recently graduated
- Right to work in the UK ( we cannot sponsor visas )
- Highly Valuable
- Familiarity with Power BI, Azure, Databricks, or other analytics platforms
- Prior experience or independent study in financial services, investment analysis, or data‑driven decision‑making
- Personal projects demonstrating your ability to work end‑to‑end with data
You will thrive in this role if you
- Actually care about building good data infrastructure, not just running queries
- Want to understand why your analysis matters, not just execute tasks
- Are comfortable asking questions and taking initiative to solve problems
- Enjoy working in a team of smart, ambitious people
- Are genuinely interested in how investment decisions get made
- Want a first role that sets you up for a serious analytics career
- What's in it for you
- Meaningful work from day one .
Not coffee runs or ticket triage. Real problems that affect the business.
- Real mentorship .
Your manager and the team genuinely invest in your growth. You will be significantly better at your job in 12 months.
- Career‑defining portfolio .
You'll have built real systems and solved real problems. That matters when you're looking for your next opportunity.
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Data Analytics Graduate | Full-Time | London | Python, SQL, Analytics | Competitive graduate salary employer: Mondrian Alpha
Mondrian Alpha is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from competitive compensation packages, including market-leading bonuses, and have ample opportunities for professional growth within a supportive environment. Joining our team means being part of a forward-thinking organisation that values your contributions and encourages your development in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Graduate | Full-Time | London | Python, SQL, Analytics | Competitive graduate salary
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Analytics Graduate | Full-Time | London | Python, SQL, Analytics | Competitive graduate salary
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mondrian Alpha, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mondrian Alpha. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mondrian Alpha
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mondrian Alpha!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
