Who We Are

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 New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.

The Role

Addepar 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.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You'll Do

Manage Alternatives Data processing for Addepar clients, which includes but is not limited to:

Troubleshooting Private Fund statements (Capital Call Notices, Distribution Notices, and Capital Account Statements) processing exceptions captured by automated validation checks
Modifying document data that has been incorrectly extracted by our machine learning models to reflect the correct Private Fund transactions and valuations information contained in the Private Fund Statements
Partnering with our Machine Learning Operations team to identify and relabel documents for model retraining
Engaging clients, GPs, or Fund Admins to address statement data related inquiries and issues
Onboard new clients to determine and establish the ownership structure of clients Private Fund positions within Addepar

Help maintain Alternatives Data Operations workflow procedures and play-books
Partner with Sales, Account Managers, and Solutions Architects to drive alignment on account related issues and to ensure positive client outcomes
Collaborate with Product and Engineering to implement new processes and tooling features that improve Alternatives Data processing UX and increase operational workflow efficiency

Who You Are

Overall 2-10+ years of experience working in similar role
Work experience in the financial investment/advisory industry with strong knowledge of capital markets, middle/back-office operations systems, and preferably with experience dealing with Alternatives (Private/Draw-down) Funds data, including knowledge of capital account statements, capital calls, and distribution notices
Track record of demonstrating excellent attention to detail, effective problem-solving skills, and an ability to thrive in a fast paced environment.
Outstanding communication and interpersonal skills for engaging clients, data providers, and internal stakeholders across Sales, Services, and R&D
Highly self-motivated to take on responsibility, forward thinking and pragmatic, and possess a collaborative team-player mentality
Technical skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, and Salesforce
Willing to work flexible hours

Important Note: This role requires working from our Pune office 3 days a week (hybrid work model)

Our Values

Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
Champion Our Clients - Exceed client expectations. Our clients success is our success.
Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote interviews, and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to [HIDDEN TEXT].

Alts Data Operations Analyst