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Product Manager (Reference Data)

Addepar · Edinburgh, United Kingdom

External listingfull-timeabout 2 months ago

About The Role

Join Addepar, a leading financial technology company, as a Product Manager in our Reference Data team. In this role, you will work on projects that turn raw data into clear insights, drive data quality analysis, build and maintain reporting infrastructure, and support operational workflows. You will also have the opportunity to work with AI-assisted tools and maintain our licensing inventory. This position offers competitive benefits, a global hybrid workforce, and a dynamic team environment.

  • Conduire des analyses de qualité des données pour les constructions de flux de données de marché et notre maître de sécurité.
  • Construire et maintenir l'infrastructure de reporting qui donne à l'équipe et à la direction une visibilité sur la rentabilité des ensembles de données.
  • Travailler sur une série de projets qui serviront de base analytique à l'équipe, en exécutant des enquêtes sur les données, des requêtes ad hoc et des analyses structurées.
  • This role requires deep data skills, rigorous thinking, and the ability to approach tasks with a builder mindset
  • Experience with Python for data work: analysis, scripting, and automation; comfortable with pandas, Jupyter, or similar tools
  • Experienced with AI-assisted tools to facilitate getting work done, particularly applying them to real analytical tasks tied to business outcomes
  • 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
  • Strong SQL skills - you can write complex queries confidently and use them as a primary tool for investigation, not just reporting
  • 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
  • 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

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