Product Manager - Reference Data

Product Manager - Reference Data

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Addepar

At a Glance

  • Tasks: Transform raw data into actionable insights and drive data quality analysis.
  • Company: Join Addepar, a global leader in data and AI for investment professionals.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Dynamic team environment with a commitment to diversity and inclusion.
  • Why this job: Make a real impact by enhancing data-driven decision-making in finance.
  • Qualifications: Experience in data analysis, strong SQL skills, and familiarity with AI tools.

The predicted salary is between 70000 - 90000 £ per year.

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.

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 clear, well-structured insights that help our team make better decisions, move faster, and deliver more confidently across feeds, security mastering, and commercial reporting.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. 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 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 dashboards on profitability by dataset, spend vs. budget, commercial pipeline tracking.
  • Support ASM operational workflows through data by generating output that helps us such as running reconciliation queries, validating node matching and security ID linking, and surfacing data quality issues that require attention by our team.
  • Productise our ability to monitor market data pipelines and operational dashboards, triage feed errors and flag issues to operations and/or R&D with enough context to act.
  • Actively use and apply 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.

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.

Product Manager - Reference Data employer: Addepar

Addepar is an exceptional employer, offering a dynamic work culture in the heart of Edinburgh that fosters innovation and collaboration among investment professionals. With a commitment to employee growth, Addepar provides opportunities to engage with cutting-edge AI tools and data-driven projects, ensuring that team members can develop their skills while contributing to impactful financial solutions. The inclusive environment and focus on diversity further enhance the workplace experience, making it a rewarding place for those seeking meaningful employment in the financial technology sector.

Addepar

Contact Details:

Addepar Recruitment Team

We think you need these skills to ace Product Manager - Reference Data

Data Analysis
SQL
AI-assisted Tools
Python
Data Quality Analysis
Reporting Infrastructure
Data Integration