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- 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 focus on innovation and impact.
- Benefits: Highly competitive salary, discretionary bonus, and comprehensive benefits package.
- Other info: Dynamic environment with opportunities for rapid career growth and exposure to leadership.
- Why this job: Make a real difference in a high-impact role at the forefront of data engineering.
- Qualifications: 7-15 years in financial services, strong SQL skills, and experience with data modelling.
The predicted salary is between 50000 - 70000 £ 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:
- 7–15 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.
Data Platform Analyst (Technical BA / Data Product) – Tier 1 Global Hedge Fund – London – Excel[...] employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Analyst (Technical BA / Data Product) – Tier 1 Global Hedge Fund – London – Excel[...]
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data sectors. Attend industry events or webinars, and don’t be shy about introducing yourself to potential employers. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and data modelling skills. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are discussing your technical expertise, the better you’ll shine when it counts!
✨Tip Number 3
Showcase your projects! If you’ve worked on any data platforms or relevant projects, make sure to have them ready to discuss. We love seeing real-world applications of your skills, so bring examples that highlight your experience with data ingestion, transformation, and delivery.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who can contribute to our data engineering efforts. Let’s get you in the door!
We think you need these skills to ace Data Platform Analyst (Technical BA / Data Product) – Tier 1 Global Hedge Fund – London – Excel[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Platform Analyst. Highlight your experience in SQL, data modelling, and any relevant financial services background. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this high-impact role. Share specific examples of how you've successfully managed data requirements and worked with stakeholders in the past.
Showcase Your Technical Skills: Don’t forget to mention your programming experience, especially with Python or Java. We’re looking for someone who can bridge the gap between engineering and business, so make sure to highlight any relevant projects or achievements.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Data Inside Out
Make sure you’re well-versed in data modelling, SQL, and the specifics of market data across asset classes. Brush up on your understanding of data pipelines and how they relate to OLTP and OLAP paradigms. This knowledge will help you confidently discuss how you can contribute to the firm’s data platform.
✨Showcase Your Technical Skills
Be prepared to demonstrate your programming experience, especially with Python or Java. You might be asked to solve a technical problem or explain how you've used these skills in past roles. Highlight any projects where you’ve shaped data products or requirements, as this will resonate well with the interviewers.
✨Engage with Stakeholders
Since this role involves daily interaction with Front Office users, practice articulating how you’ve successfully engaged with stakeholders in previous positions. Share examples of how you translated complex business needs into structured technical specifications, as this will show your ability to bridge the gap between engineering and business.
✨Familiarise Yourself with Modern Data Architectures
Understand concepts like Data Mesh principles and data contracts, as these are crucial for the role. Be ready to discuss how you would approach data quality, reconciliation, and validation processes. Showing that you’re up-to-date with modern data governance frameworks will set you apart from other candidates.