Product Manager Reference Data

Salary: £69,000 - 109,000 per year

Requirements:

• Prior experience as a data analyst, business analyst, or product analyst, ideally in financial services or a data-intensive SaaS environment where data quality and rigour matter.
• Strong SQL skills, including the ability to write complex queries confidently and use SQL as a primary tool for investigation.
• Experience with AI-assisted tools to accelerate analytical work and support business outcomes.
• Experience with Python for data work, including analysis, scripting, and automation.
• Comfort with pandas, Jupyter, or similar tools.
• Ability to build reporting across multiple data sources and join information from systems such as Salesforce, finance, and operational data into coherent and trustworthy outputs.
• Knowledge of financial data concepts such as asset class, security-level concepts, reference data, and pricing, or a desire to learn these concepts.
• Strong communication skills, including the ability to write up findings, document processes, and present analysis to diverse audiences.
• A dependable, builder-minded self-starter whom teammates can trust.

Responsibilities:

• Work on projects that provide the analytical foundation for the team, including data investigations, ad hoc queries, and structured analyses that inform prioritisation, requirements, and decisions.
• Drive data quality analysis for Market Data Feed builds and our security master by profiling incoming vendor data, validating transformations, and identifying anomalies and coverage gaps.
• Build and maintain reporting infrastructure that provides visibility into dataset profitability, vendor licensing costs versus revenue, pipeline health, feed coverage, and commercial activity.
• Query across our data systems to produce views and dashboards on profitability by dataset, spend versus budget, and commercial pipeline tracking.
• Support ASM operational workflows by running reconciliation queries, validating node matching and security ID linking, and surfacing data quality issues that require attention.
• Productise our ability to monitor market data pipelines and operational dashboards by triaging feed errors and flagging issues to operations and/or R&D with enough context to act.
• Actively use AI-assisted tools to accelerate Refdata product outcomes.
• Maintain our licensing inventory, including dashboards that track spend against budget, renewal timelines, and licensing events, and keep those views accurate and accessible.

Technologies:

• AI
• Support
• Jupyter
• Product Manager
• Python
• SQL
• Salesforce
• Security
• pandas
• NodeJS

More:

We are Addepar, a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. We unify portfolio, market, and client data in a total portfolio view and deliver AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use our platform to manage and advise on nearly $9 trillion in assets, and our open platform integrates with nearly 650 software, data, and consulting partners to support end-to-end investment operations. We support clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore, and São Paulo. This Product Manager role sits within our Reference Data team in Edinburgh, part of Data Enablement, focused on building a scalable, efficient, high-quality data platform across Market Data Feeds and Addepar Security Master. We value ownership, collaboration, client focus, innovation, and learning, and we are proud to be an equal opportunity employer with a welcoming, inclusive environment.

last updated 36 week of 2026