Investment Data Analyst – First Technology Hire at a High-Performing Credit Fund - London - Hug[...]

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.

• 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.

• 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.

• 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.

• 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 , respond to this advertisement using the instructions below, or reach out directly on @mattellisrecruiter

• Mid-Senior level

• Full-time

• Information Technology and Finance

• Investment Management, Financial Services, and Software Development