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 experience (Fresh graduates welcome).
Finance Foundation: A solid academic background in finance, commerce, or economics, with a foundational understanding of capital markets.
Detail-Oriented: Exceptional attention to detail and a track record of effective problem-solving skills.
Tech-Savvy: Highly comfortable with technology; foundational skills in Microsoft Excel and Google Suite are required.
Team Player: Highly self-motivated, eager to learn, and possess a collaborative, forward-thinking mentality.
Work Setup: Willing to work adaptable schedule and from our Pune office 3 days a week.

📌 Associate Alts Data Operation Analyst Early Career Pune
🏢 Addepar
📍 Pune