Alternative Data Ops Analyst — AI-Powered Pipelines

Addepar1; City of Edinburgh; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

Addepar is seeking an Alternatives Data Operations Analyst to work UK hours, joining our growing presence in Pune. The role focuses on capturing and updating alternative data to power innovations on a proprietary research platform, with responsibility for data quality and workflow oversight.

You will optimise end-to-end data ingestion pipelines, oversee security classifications, and collaborate with the Research team to implement data quality validations, while exploring AI-assisted tooling to

Qualifications

• Experience in financial investments and capital markets, with exposure to back-office operations.
• Hands-on SQL and data warehousing experience, including PySpark and Databricks.
• Ability to interpret unstructured private market data (Form D filings, investment briefs).
• Strong documentation, follow-through and collaboration skills.

Responsibilities

• Collaborate with UK team to investigate Alternative Investment attributes during UK hours.
• Research investments in Addepar’s global database and classify by asset type, vintage and strategy.
• Oversee and manage data processing workflows for Alternatives data.
• Develop controls and metrics to ensure data quality standards.
• Partner with Research to implement data quality validations and oversee security master.

Skills

SQL

Python

PySpark

Databricks

Pandas

Jupyter

Excel

Google Suite

Jira

Confluence

Claude Code

GitHub Copilot

API integrations

Data Governance

Tools

Bloomberg Terminal

PitchBook

Claude Code

GitHub Copilot

Job description

Addepar is seeking an Alternatives Data Operations Analyst to work UK hours, joining our growing presence in Pune. The role focuses on capturing and updating alternative data to power innovations on a proprietary research platform, with responsibility for data quality and workflow oversight.

You will optimise end-to-end data ingestion pipelines, oversee security classifications, and collaborate with the Research team to implement data quality validations, while exploring AI-assisted tooling to