Alternatives Data Operations Analyst

Company: Addepar
Apply for the Alternatives Data Operations Analyst
Location: Edinburgh
Job Description:

Overview

In this role you will support the UK team during UK hours to capture and update Alternatives investment data for Addepar’s research-driven platform. You will ensure timely, high-quality data for researchers and partners, overseeing data workflows and the security master. You will collaborate with researchers and engineering to optimize data pipelines and explore AI-assisted tooling to speed up validation cycles. This position offers impact by enabling better investment decision-making through rigorous data governance and automation.

Responsibilities

  • Investigate Alternative Investment attributes with the UK team during UK hours
  • Research investments in Addepar’s global database and classify by asset type, vintage, and strategy
  • Oversee and manage operational workflows for Alternative data processing
  • Develop and maintain process controls and metrics to ensure data quality
  • Partner with Research to implement and run data quality validations
  • Oversee the security master and security classification processes
  • Independently manage and troubleshoot end-to-end data ingestion pipelines with engineering support
  • Explore and implement AI-assisted developer tools to optimize workflows and validation cycles

Key requirements

  • Experience in financial investment industry with knowledge of capital markets
  • Experience with Alternatives funds reporting statements and data
  • Strong problem-solving abilities and self-motivation
  • Excellent communication and teamwork skills
  • Hands-on SQL & Data Warehouse experience
  • Proficiency in Python (Jupyter Notebook, Pandas, PySpark) and Databricks
  • Familiarity with AI developer tools for code optimization
  • Exceptional ability to interpret unstructured private market data and translate into structured taxonomies
  • problem-solving
  • team-player mentality
  • strong communication
  • SQL
  • Python (Jupyter Notebook, Pandas, PySpark)
  • Databricks

…

Posted: September 14th, 2026