Data Platform Analyst (Technical BA / Data Product) – Tier 1 Global Hedge Fund – London – Excellent Comp + Benefits

Mondrian Alpha; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Mondrian Alpha, a Tier 1 multi-strategy hedge fund in London, is hiring a Data Platform Analyst to join its Data Engineering function. This high-impact role sits at the intersection of Front Office stakeholders and platform build-out.

You will own data requirements, modelling, and delivery within a modern data architecture, acting as a conduit between Portfolio Managers, global stakeholders, and engineering for this greenfield-to-scale data platform.

Qualifications

• 10+ years' experience in financial services, trading or buy-side.
• Strong SQL and data modelling expertise.
• Experience with market data across asset classes and vendor integrations.
• Knowledge of data pipelines, data quality, and data governance.
• Hands-on programming experience (Python, Java).
• Experience bridging engineering and business stakeholders.

Responsibilities

• Own end-to-end data requirements across the platform lifecycle (ingestion, modelling, transformation, delivery).
• Interface between Front Office users and Data Engineering.
• Translate business needs into structured data specifications and models.
• Onboard market and alternative datasets; manage vendor integration.
• Drive data quality, reconciliation, and validation across sources.
• Contribute to data modelling, schema design, and transformation logic.
• Work within Data Mesh, data contracts, and governance frameworks.
• Support historical backfills, PoCs, and new data product delivery.
• Greenfield-to-scale data platform build with leadership exposure.

Skills

SQL

Data modeling

Data pipelines

Data quality

OLTP vs OLAP

Python

Java

Vendor integration

Data governance

Stakeholder engagement

Job description

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.