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- Tasks: Join a global hedge fund as a Data Platform Analyst, shaping data requirements and driving quality.
- Company: Tier 1 multi-strategy global hedge fund based in London.
- Benefits: Highly competitive salary, discretionary bonus, and comprehensive benefits.
- Other info: Dynamic role with direct exposure to leadership and global stakeholders.
- Why this job: Make a real impact on data platforms that underpin global trading.
- Qualifications: 7-15 years in financial services, strong SQL skills, and technical programming experience.
The predicted salary is between 80000 - 100000 £ 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.
- 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
- 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.
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
Highly competitive base salary and discretionary bonus + benefits.
Data Platform Analyst (Technical BA / Data Product) - Tier 1 Global Hedge Fund - London - Excellent Comp + Bonus 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 - Excellent Comp + Bonus
✨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 technical skills. Make sure you can talk confidently about SQL, data modelling, and your experience with data pipelines. We want you to shine when discussing how you’ve tackled complex data challenges in the past.
✨Tip Number 3
Showcase your problem-solving skills! Be ready to discuss specific examples where you’ve translated ambiguous business needs into structured technical specifications. We love hearing about how you’ve driven data quality and reconciliation processes in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for candidates who are passionate about building innovative data platforms. 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 - Excellent Comp + Bonus
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 hands-on programming skills you have. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our data platform build. Be specific about your experience with data modelling and stakeholder engagement.
Showcase Your Technical Skills: Don’t shy away from showcasing your technical prowess! Mention your experience with data pipelines, OLTP vs OLAP paradigms, and any relevant programming languages like Python or Java. We love seeing candidates who can bridge the gap between engineering and business.
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, SQL, and the specific data architecture mentioned in the job description. Brush up on your knowledge of market data across asset classes and be ready to discuss how you've handled data ingestion and transformation in past roles.
✨Speak Their Language
When talking to interviewers, use terminology that resonates with both technical and business stakeholders. Be prepared to translate complex data needs into clear specifications, showcasing your ability to bridge the gap between engineering and front office users.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or reconciled discrepancies in previous projects. Highlight your experience with data pipelines and how you’ve ensured data integrity, as this will demonstrate your hands-on approach and technical expertise.
✨Engage with Stakeholders
Since this role involves daily interaction with Portfolio Managers and trading teams, practice how you would engage with these stakeholders. Think of scenarios where you’ve successfully collaborated with diverse teams and how you can contribute to their data needs effectively.