Who We AreAddepar 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 trusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 40 countries, Addepar\'s platform aggregates portfolio, market and client data for over $5 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 Silicon Valley, New York City, Salt Lake City, Chicago, London, Dublin, Edinburgh, Scotland and Pune, India.*Marketplace and brokerage services provided by Acervus Securities, Inc., an SEC registered broker-dealer and member / .The RoleAddepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks.As part of the broader Addepar Data organization, the Alternatives Data Ops team is responsible for the human-in-loop review of Private Funds documents, ensuring clients\' Alternatives data is processed, validated, and available in Addepar in a timely manner. This role will include reviewing Private Fund statements, modifying data that has been incorrectly extracted by our machine learning models, and reprocessing the data within SLAs. The Alternatives Data Ops team plays a critical role in the success of Addepar\'s Alternatives offering and requires daily communications with the Alternatives Product Team, Machine Learning Operations, clients, data providers (GPs and Fund Admins), and additional personnel across the organization.What You\'ll Do
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