Alternatives Data Operations & AI Tools Analyst

Sway; City of Edinburgh; Hybrid; GBP 67,000 - 89,000; Full time

Job summary

Addepar is seeking an Alternatives Data Operations Analyst to join our UK- hours team, focusing on capturing and updating private funds and non-public investments. You will manage data quality, security classifications, and end-to-end pipelines while collaborating with researchers and engineers.

The role emphasizes hands-on SQL, Databricks, PySpark, and AI-enabled tooling to streamline workflows and deliver reliable analytics for clients and researchers globally.

Qualifications

• Experience in financial investments or advisory industry preferred.
• Strong documentation and follow-through skills.
• Proven problem-solving ability and teamwork.
• Excellent communication with clients and data providers.

Responsibilities

• Collaborate with UK team to investigate Alternative Investment attributes during UK hours.
• Research investments in Addepar’s global database and classify assets, vintage, and strategy.
• Oversee and manage workflows for Alternative data processing.
• Develop controls and metrics to ensure data quality standards.
• Partner with Research to implement data quality validations.
• Oversee security master and security classifications processes.
• Manage end-to-end data ingestion pipelines and troubleshoot blockers.
• Explore AI tools to optimize repetitive data workflows.

Skills

SQL

PySpark

Databricks

Python

Excel

Google Suite

Jupyter Notebook

Pandas

Tools

Jira/Confluence

Bloomberg

Pitchbook

Job description

Addepar is seeking an Alternatives Data Operations Analyst to join our UK- hours team, focusing on capturing and updating private funds and non-public investments. You will manage data quality, security classifications, and end-to-end pipelines while collaborating with researchers and engineers.

The role emphasizes hands-on SQL, Databricks, PySpark, and AI-enabled tooling to streamline workflows and deliver reliable analytics for clients and researchers globally.