Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Investment Data Analyst – Urgent Hire (Big 4 Profiles) - Hedge Fund - London

Mondrian Alpha
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst – BI & AI Insights for Growth

Data Analyst

Junior Data Analyst Apprentice

Business Data Analyst

Data Analyst

Senior Data Analyst

Overview

Investment Data Analyst – First Tech Hire at a High-Performing Investment Fund

This range is provided by Mondrian Alpha. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

We’re supporting a top-performing, high-conviction investment firm as they make their first full-time hire into data and technology. This is a rare opportunity to work directly with the COO and senior leadership, shaping the future of analytics and tooling at a boutique fund managing over £1bn AUM.

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.
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.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology and Engineering
  • Industries: Investment Management, Financial Services, and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at Mondrian Alpha by 2x

Get notified about new Data Analyst jobs in London Area, United Kingdom.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.