Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in Current York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo.
The Role
Kickstart your career in fintech Addepar has just launched an Alternatives Product offering, combining proprietary machine learning technology with human-in-the-loop review to process complex Private Funds data.
As a foundational member of the Alternatives Data Ops team, you will receive comprehensive training to review Private Fund documents,
ensuring clients’ Alternatives data is accurately processed and validated. You will play a critical role in training our ML models by identifying extraction errors and maintaining high data quality standards. (Note: Visa sponsorship is not available).
What You’ll Do
Learn & Execute: Process Alternatives Data for Addepar clients by reviewing Private Fund statements (Capital Call Notices, Distribution Notices, and Capital Account Statements).
Data Validation: Identify and modify data that has been incorrectly extracted by our machine learning models to reflect accurate financial valuations.
Cross-Functional Collaboration: Partner with our Machine Learning Operations team to help relabel documents for model retraining.
Process Excellence: Follow detailed Alternatives Data Operations workflow procedures and playbooks to ensure we meet strict client SLAs.
Who You Are
Experience: 0 to 1 year of expe
📌 Associate Alts Data Operation Analyst (India)
🏢 Addepar
📍 India
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