Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Own the analytics platform and develop AI-driven tools for investment insights.
- Company: Join a top-performing credit fund with a focus on data and technology.
- Benefits: Competitive salary, strong bonus potential, and a clear growth trajectory.
- Other info: High visibility with senior leaders and a culture of ownership and trust.
- Why this job: Be the first tech hire and shape the future of data strategy.
- Qualifications: 2-4 years in data analysis; strong academics from a Russell Group university.
The predicted salary is between 48000 - 72000 £ per year.
Overview
We are partnering with a top-performing credit investment fund as they make their first dedicated hire into data and technology. This is a rare chance to step into a boutique environment (AUM £1bn+) and take full ownership of the firm’s analytics, tooling, and data strategy from day one.
What Makes This Opportunity Unique
- First mover advantage – the very first internal hire focused on technology and data.
- Direct partnership with the COO, portfolio managers, and senior leadership, giving unmatched visibility.
- Exposure beyond pure analytics – supporting investments, operations, compliance, and investor relations.
- Entrepreneurial runway – broad scope for progression and the ability to define your own impact in a lean, collegiate team.
Key Responsibilities
- Take ownership of the firm’s internal analytics platform (Power BI) — building, enhancing, and scaling dashboards and models.
- Design and develop a proprietary AI-driven natural language search tool to query historical models, research notes, and transaction data.
- Build data visualisation and reporting tools to support fund managers, client reporting, and regulatory/compliance teams.
- Identify and implement automation opportunities across operational and investment workflows.
- Manage external vendors and consultants, overseeing outsourced builds and integrations as needed.
Core Skill Requirements
- Power BI – proven ability to design data models, dashboards, and reports.
- SQL – ability to write, optimise, and maintain queries across complex datasets.
- Python (or equivalent scripting languages) – practical experience preferred; willingness to upskill essential.
- Excel – fluent in modelling, reporting, and cross-functional integration.
- Ability to translate business requirements into technical solutions, engaging with non-technical stakeholders.
Who We’re Looking For
- 2–4 years’ experience in data analysis, consulting, fintech, or financial services.
- Strong academics – First-Class or high 2:1 degree from a Russell Group university (STEM/quantitative preferred).
- Commercially sharp — able to link data insights to investment logic.
- Excellent communicator, comfortable working directly with senior stakeholders.
- Entrepreneurial mindset – thrives in high-trust, high-autonomy environments.
Why Apply?
- A unique chance to build the data and technology function at a high-performing fund.
- High visibility and direct access to decision-makers.
- A culture of ownership, trust, and commercial impact — not siloed IT.
- Competitive compensation with strong bonus potential, five-day office culture, and a clear long-term growth trajectory.
If you’re looking for ownership, complex problem-solving, and real exposure to investment decision-making — this is the one.
To apply, please send your resume directly to me@mondrian.alpha.com, respond to this advertisement using the instructions below, or reach out directly on @mattellisrecruiter
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology and Finance
Industries
- Investment Management, Financial Services, and Software Development
#J-18808-Ljbffr
Investment Data Analyst – First Technology Hire at a High-Performing Credit Fund - London - Hug[...] employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Analyst – First Technology Hire at a High-Performing Credit Fund - London - Hug[...]
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to the credit fund scene. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you’ve got experience with Power BI or SQL, create a mini-project or dashboard to showcase your abilities. Bring it along to interviews to demonstrate your hands-on expertise.
✨Tip Number 3
Prepare for the interview by understanding the firm’s investment strategy and recent deals. This shows you’re not just another candidate; you’re genuinely interested in their work and ready to contribute from day one.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Investment Data Analyst – First Technology Hire at a High-Performing Credit Fund - London - Hug[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the skills and experiences mentioned in the job description. Highlight your Power BI, SQL, and Python experience, and don’t forget to showcase any relevant projects that demonstrate your analytical prowess.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for this role. Share your passion for data and technology, and how you can contribute to our analytics platform and overall strategy. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in previous roles. We want to see your entrepreneurial mindset in action, so don’t hold back on sharing your successes and learnings.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, SQL, and Python. Be ready to discuss specific projects where you've used these tools. Prepare examples that showcase your ability to design dashboards or automate processes, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Familiarise yourself with how data insights drive investment decisions. Research the credit fund's strategy and be prepared to discuss how your analytical skills can support their goals. This shows you’re not just a techie but someone who understands the bigger picture.
✨Communicate Clearly with Stakeholders
Practice explaining complex data concepts in simple terms. You’ll likely interact with senior leaders who may not have a technical background. Being able to translate technical jargon into business language will set you apart and show your communication prowess.
✨Show Your Entrepreneurial Spirit
This role is all about ownership and innovation. Think of ways you could improve their current analytics processes or suggest new tools. Bring these ideas to the interview to demonstrate your proactive mindset and readiness to make an impact from day one.