WHO WE ARE

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar’s platform aggregates portfolio, market and client data for over $7 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, and Dubai.

THE ROLE

We are currently seeking a Portfolio Data Operations Analyst to join our Portfolio Data Operations team! Part of the broader Addepar Engineering organization, the Portfolio Data Operations team is responsible for ensuring Addepar’s clients have timely and high quality data. This will include overseeing the processing of transactions and positions so that it meets client timelines, ensuring data quality through verification checks, and helping clients with their data support questions. The Portfolio Data Operations team sits at the nexus of Addepar’s activity and requires daily communications with data providers, clients, and other personnel across the company

WHAT YOU’LL DO

• Perform daily internal verification checks to ensure portfolio account data is accurate and available within SLAs.
• Investigate and troubleshoot data pipeline issues and feed processing exceptions, and triaging with Engineering Support when needed.
• Effectively complete and maintain operational workflows and identify and implement opportunities for optimization.
• Collaborate with Client Support, Solution Architects, and other members of Services and Sales to review and resolve client data inquiries and requests.
• Partner with Product and Engineering to design, test, and implement new processes and tooling features that improve data quality as well as increase operational efficiency.
• Participate in broad company initiatives to stand up new product functionality or services.