Product Manager - Reference Data

Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. 

The Role

We are seeking a Product Manager to join our Reference Data team, based in Edinburgh.

Reference Data is part of the Data Enablement team at Addepar. Our mission is to build a scalable, efficient, and high quality data platform that integrates, connects, productionises, and distributes third-party data content across Addepar and to our clients and partners.

Our team is organised across two product tracks — Market Data Feeds and Addepar Security Master (ASM). This role will power these tracks. You will be working on projects that focus on turning raw data into the clear, well-structured insights that help our team make better decisions, move faster, and deliver more confidently across feeds, security mastering, and commercial reporting.

This role requires deep data skills, rigorous thinking, and the ability to approach tasks with a builder mindset. 

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You'll Do

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

Who You Are

• 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 -  you can write complex queries confidently and use them as a primary tool for investigation, not just reporting.
• Experienced with AI-assisted tools to facilitate getting work done, particularly applying them to real analytical tasks tied to business outcomes.
• Experience with Python for data work: analysis, scripting, and automation; comfortable with pandas, Jupyter, or similar tools.
• Able to build reporting that spans multiple data sources with knowledge on how to join pieces of information like Salesforce data with finance data and operational data and produce something coherent and trustworthy.
• Ideal if knowledgeable in financial data concepts such as asset class and security level concepts, reference data, and pricing or the desire to learn more about these concepts.
• A builder and self-starter that is dependable in your work. Teammates trust what you produce.
• A clear communicator who can write up findings, document processes, and present analysis to diverse audiences.

Our Values 

• Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
• Build Together - Collaborate to unlock the best solutions. Deliver lasting value. 
• Champion Our Clients - Exceed client expectations. Our clients’ success is our success. 
• Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. 
• Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. 

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to View email address on job-boards.greenhouse.io .