Technical Business Analyst (Data) - Boutique Hedge Fund - London

Mondrian Alpha; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Mondrian Alpha in London is seeking a Business Data Analyst to bridge business needs with a modern data platform supporting trading across multiple asset classes. You will work at the crossroads of stakeholders and a lean engineering team building enterprise data capabilities.

The role focuses on gathering requirements, translating them into clear specifications, and ensuring data products meet standards and contracts while driving platform adoption and user education across internal teams.

Qualifications

• 7+ years in financial sector, buy-side preferred.
• Strong SQL and data modelling expertise.
• Experience with data contracts and Data Mesh concepts.
• Familiarity with AI tools in a professional context.

Responsibilities

• Gather and structure business requirements.
• Translate needs into technical specifications and acceptance criteria.
• Collaborate with Data Engineering to enforce standards and data contracts.
• Promote platform adoption by engaging stakeholders.
• Educate teams on data access and interpretation of datasets.

Skills

Advanced SQL

Data modelling

Entity mapping

Stakeholder communication

Education

Bachelor's degree in CS

Master's degree (preferred)

Tools

Jira

Confluence

DataHub

Kubernetes

Snowflake

Postgres

Dagster

Job description

My client, a boutique hedge fund is seeking a Business Data Analyst to join their London office.

Reporting to the Head of Data Engineering, you will sit at the intersection of business stakeholders and a small, high-impact engineering team building a modern enterprise data platform that supports trading across equities, options, commodities, futures, credit and fixed income derivatives.

The role is business-facing. You will gather and structure requirements, translate complex business needs into clear technical specifications and acceptance criteria, and work closely with Data Engineering to ensure data products follow architectural standards, Data Mesh principles and defined data contracts.

You will also drive adoption of the platform by engaging stakeholders, gathering user feedback and educating internal teams on how to access and interpret datasets.

The ideal candidate will have 7+ year's experience in the financial sector (ideally buy-side), with a strong background in market data and alternative datasets across multiple asset classes. Advanced SQL expertise is essential, along with a solid understanding of data modelling, financial identifiers and entity mapping. Familiarity with JIRA, Confluence, DataHub, Kubernetes, Snowflake, Postgres or Dagster is advantageous.

Excellent communication skills are essential, as is a demonstrated use of AI tools in a professional context. A Bachelor’s degree in Computer Science or a related discipline is required, with a Master’s preferred. My client will offer a strong uplift in base salary, alongside market leading bonuses.