Investment Data Analyst - Hedge Fund - London

Mondrian Alpha; England; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading investment firm in the UK is seeking a Data Engineer to shape their analytics and tooling strategy. In this role, you will take ownership of the internal analytics platform and develop innovative solutions to enhance reporting and research workflows. Ideal candidates will have 2-4 years of experience in data analysis and possess strong skills in Power BI, SQL, and Python or equivalent scripting languages. This position offers significant runway for career growth and a collaborative work environment.

Benefits

Strong bonus potential

Long-term growth path

Office culture focused on collaboration

Qualifications

• 2-4 years' experience in data analysis, consulting, fintech, or financial services.
• Strong communication skills and a collaborative, delivery-focused mindset.
• Thrives in high-trust, high-autonomy environments.

Responsibilities

• Take ownership of the firm’s internal analytics platform (Power BI).
• Build a proprietary AI-powered natural language search tool.
• Develop dashboards and visualization tools to support fund managers and internal stakeholders.
• Identify automation opportunities and solve data workflow challenges.
• Manage third-party vendors and oversee outsourced builds.

Skills

Power BI

SQL

Python (or other scripting languages)

Excel

Ability to translate business problems into technical solutions

Education

First-Class or high 2:1 degree from a Russell Group university

Job description

We’re supporting a top-performing investment firm as they look to grow their data and technology team. This is a rare opportunity to work directly with the Head of Data and senior leadership, shaping the future of analytics and tooling at a boutique fund managing over £1bn AUM. My client has a preference for Data Engineers working at a consultancy, onsite across Financial Services (PWC, Accenture, Deloitte, or EY).

What Makes This Special

• Be the first internal hire focused on technology and data — full ownership and visibility.
• Partner directly with the COO and investment team to transform internal research and reporting workflows.
• Broad exposure across investments, operations, compliance, and sales.
• Significant runway for career progression in a lean, entrepreneurial environment.

Key Responsibilities

• Take ownership of the firm’s internal analytics platform (Power BI) — enhancing and scaling it.
• Build a proprietary AI-powered natural language search tool for querying historical models and research notes.
• Develop dashboards and visualisation tools to support fund managers, client reporting, and internal stakeholders.
• Work with senior leadership to identify automation opportunities and solve data workflow challenges.
• Manage third-party vendors and consultants; oversee outsourced builds as needed.

Core Skill Requirements

• Power BI: Strong experience building dashboards and data models.
• SQL: Comfortable writing and optimising queries for complex datasets.
• Python (or other scripting languages): Exposure ideal; willingness to learn expected.
• Excel: Fluent, particularly for modelling and cross-functional reporting.
• Ability to translate business problems into technical solutions, working autonomously and with non-technical stakeholders.

Who We’re Looking For

• 2–4 years’ experience in data analysis, consulting, fintech, or financial services.
• A First-Class or high 2:1 degree from a Russell Group university — preferably in a STEM or quantitative field.
• A sharp, commercially aware mind — someone who can engage with investment logic, not just data.
• Strong communication skills and a collaborative, delivery-focused mindset.
• Someone who thrives in high-trust, high-autonomy environments.

Why Apply?

• Unique chance to build the internal data capability at a growing fund from the ground up.
• High exposure to decision-making and meaningful, business-wide impact.
• A commercial, hands‑on role in a collegiate, five‑day office culture.
• Strong bonus potential and a long‑term path for growth and responsibility.

If you're looking for real ownership, complex problems, and close collaboration with senior stakeholders — this is the one.