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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: Fast-paced environment with opportunities for professional growth and direct engagement with leadership.
- Why this job: Make a real difference in a greenfield data platform project with global exposure.
- Qualifications: 7-15 years in financial services, strong SQL skills, and experience with data modelling.
The predicted salary is between 70000 - 90000 £ 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. We all know that sometimes it’s not just what you know, but who you know. Attend industry events or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and data modelling skills. We want you to be ready to showcase your expertise in real-time. Practice common interview questions and think about how you can demonstrate your experience with data pipelines and stakeholder engagement.
✨Tip Number 3
Don’t forget to leverage your online presence! Update your LinkedIn profile to reflect your skills and experiences relevant to the Data Platform Analyst role. We recommend sharing insights or articles related to data engineering to show your passion and knowledge in the field.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. By applying directly, you’ll ensure your application gets the attention it deserves, and you might even get a chance to connect with our hiring team.
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 financial services, SQL expertise, and any relevant data modelling skills. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your unique skills can contribute to our data platform. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your hands-on programming experience and familiarity with data pipelines. If you've worked with AI tools or have experience in engineering roles, make sure to highlight that too. We’re keen on seeing your technical prowess!
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 important updates. Plus, it’s super easy!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Data Inside Out
Make sure you’re well-versed in data modelling and SQL. Brush up on your knowledge of schemas, normalisation, and performance optimisation. Being able to discuss these topics confidently will show that you understand the technical side of the role.
✨Understand the Business Context
Familiarise yourself with how data impacts trading and decision-making in a hedge fund environment. Be prepared to discuss how you can translate complex business needs into structured technical specifications. This will demonstrate your ability to bridge the gap between stakeholders and engineering.
✨Showcase Your Stakeholder Engagement Skills
Think of examples where you've successfully interacted with Front Office users or other stakeholders. Highlight your experience in managing expectations and delivering on their data requirements. This is crucial for a role that sits at the intersection of business and technology.
✨Be Ready for Technical Questions
Expect questions about data pipelines, OLTP vs OLAP paradigms, and vendor integration challenges. Prepare to discuss your hands-on programming experience, especially with Python or Java. This will help you stand out as a candidate who can contribute to the engineering side of the role.