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Investment Data Analyst - Hedge Fund - London

Mondrian Alpha
London
3 weeks ago
Applications closed

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Senior Data Analyst

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.

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