At a Glance
- Tasks: Own data requirements and collaborate with stakeholders to build a cutting-edge data platform.
- Company: Join a Tier 1 global hedge fund with a dynamic and innovative culture.
- Benefits: Highly competitive salary, discretionary bonus, and excellent benefits.
- Other info: Fast-paced environment with opportunities for career growth and exposure to leadership.
- Why this job: Make a real impact in finance by shaping data products and driving innovation.
- Qualifications: 10+ years in financial services, strong SQL skills, and experience with data modelling.
The predicted salary is between 63000 - 77000 £ per year.
I am working with a Tier 1 multi-strategy global hedge fund that is hiring a Data Platform Analyst to join its London-based Data Engineering function, supporting the build-out of a firmwide data platform underpinning trading across global markets. This is a high-impact individual contributor role, embedded directly within Data Engineering, sitting at the intersection of Front Office stakeholders and platform build-out. The position goes beyond traditional BA responsibilities, with ownership across data requirements, modelling, and delivery within a modern data architecture. You will act as a core conduit between Portfolio Managers, global stakeholders, and engineering, contributing to how data is ingested, structured, and delivered across the firm.
What you'll be working on:
- Owning end-to-end data requirements across the platform lifecycle (ingestion, modelling, transformation, delivery)
- Acting as the interface between Front Office users and Data Engineering
- Translating complex, ambiguous business needs into structured technical specifications and data models
- Supporting onboarding of market and alternative datasets, including vendor integration challenges
- Driving data quality, reconciliation, and validation processes across multiple data sources
- Contributing to data modelling, schema design, and transformation logic
- Operating within a modern architecture including Data Mesh principles, data contracts, and governance frameworks
- Supporting large-scale initiatives including historical backfills, PoCs, and new data product delivery
This is a greenfield-to-scale data platform build, with direct exposure to Data Engineering leadership and global stakeholders.
What they're looking for:
- +10 years' experience in financial services (buy-side or trading environments preferred)
- Strong expertise in SQL and data modelling (schemas, normalization, performance optimisation)
- Deep experience working with market data across asset classes, including vendor integration and financial identifier mapping (ISIN, CUSIP, etc.)
- Strong understanding of data pipelines, data quality/reconciliation, and OLTP vs OLAP paradigms
- Technical background, with hands-on programming experience (Python, Java or similar) and prior experience in engineering or development roles
- Proven track record operating as a hybrid between engineering and business, shaping data products and requirements
- Experience working closely with Data Engineering teams on scalable data platforms (not just reporting environments)
- Strong stakeholder engagement skills, with daily interaction with Front Office users (PMs, trading teams)
- Experience leveraging AI tools (e.g. ChatGPT, Copilot, Claude) in a professional context is beneficial
Compensation:
Highly competitive base salary and discretionary bonus + benefits. The hire is active, with strong intent to move quickly. All applications are treated in strict confidence.
Data Platform Analyst (Technical BA / Data Product) – Tier 1 Global Hedge Fund – London – Excellent Comp + Benefits employer: Mondrian Alpha
Join a leading global multi-strategy hedge fund in London, where innovation meets opportunity. With a strong emphasis on technology and a collaborative work culture, employees benefit from extensive growth opportunities, competitive compensation packages, and a supportive environment that prioritises both professional development and personal well-being. Enjoy perks such as fully subsidised meals, comprehensive healthcare, and generous annual leave, making this an exceptional place to advance your career in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Analyst (Technical BA / Data Product) – Tier 1 Global Hedge Fund – London – Excellent Comp + Benefits
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We think you need these skills to ace Data Platform Analyst (Technical BA / Data Product) – Tier 1 Global Hedge Fund – London – Excellent Comp + Benefits
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Mondrian Alpha, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mondrian Alpha. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mondrian Alpha
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
