BI and data analyst in investment management

Referment is working with a specialist investment management and advisory firm to hire an Investment BI & Data Analyst into its London team. This is a particularly interesting opportunity for someone who sits at the intersection of investment data, technology and financial markets and wants considerably more ownership than a traditional BI or reporting role. The firm operates across London and Dubai, with a small, experienced team where technology, data and automation are central to the way the business operates.

• You’ll take ownership of data, reporting and automation initiatives across the business, helping to design the data architecture underpinning investment, client, risk, treasury, P&L, exposure and management reporting.
• Designing and maintaining data models and architecture
• Building automated data pipelines and integrations
• Working with APIs, structured files and external data feeds
• Developing automated reporting and analytics
• Data validation, reconciliation and transformation
• Building interfaces into Power BI and other internal tools
• Reducing reliance on spreadsheets and manual processes
• Creating monitoring and exception processes around critical data flows

• You’ll be expected to understand how data moves through an investment business, determine how it should be structured and controlled, and build reliable, scalable solutions around it.
• You’ll work with data covering trades, positions, cash, securities, portfolios, market data and accounting, integrating information from systems and counterparties including private banks, custodians, fund administrators, brokers and market-data providers.
• We’re particularly interested in candidates with strong practical experience across SQL, Power BI/DAX, Python, APIs/JSON, ETL/ELT, data modelling and automated data pipelines.
• Crucially, you’ll need 3–5+ years' experience within a hedge fund, asset manager, family office, investment bank, financial technology business or similarly data-intensive financial environment.
• Given the size of the team, this will suit someone who is hands-on, curious and highly autonomous.
• You should be comfortable taking a loosely defined problem, getting into the underlying data and owning the solution through design, build, testing, documentation and ongoing support.
• Будет плюсом: If you’ve built investment data solutions rather than simply consumed them, we’d be particularly interested in speaking with you

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