Front Office Data Platform Analyst

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

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.