Mountain View, CA
Addepar is the financial operating system that brings common sense and data-driven investing to our financial world. Addepar gives asset owners and advisors a clearer financial picture at every level, all in one place. It handles all types of assets denominated in any currency. With customizable reporting, financial advisors can visualize and communicate relevant information to anyone who needs it. Secure, scalable, and fast, Addepar is purpose-built to power the global financial system. Hundreds of single and multi-family offices, wealth advisors, large financial institutions, endowments, and foundations manage $750 billion of assets on the Addepar platform. Addepar has offices in Silicon Valley, New York, Chicago, and Salt Lake City.
The Data Solutions team is responsible for integrating clients’ portfolios into Addepar, consulting clients on their trickiest portfolio data challenges, and ensuring data quality and timeliness. To fill this role we are looking for individuals who have exceptional analytical skills, portfolio accounting or securities knowledge, excellent verbal, written, and client presentation skills, and bring an engineering approach to all problems they encounter.
KEY ROLE RESPONSIBILITIES
- Partner with custodians and technologists to configure new data feeds
- Design and build models that transform custodian data into Addepar Global Financial Format
- Work with clients to clean and summarize historical data in preparation for analysis
- Onboard new clients by identifying unique portfolio or reporting needs and enabling them in the Addepar system
- Participate in broad company initiatives to stand up new product functionality or services
- Collaborate with our Client Solutions team and Data Engineers to resolve data issues that impact our clients
- Knowledge/experience of the financial industry, securities modeling, post-trade processing or back-office systems
- Facility with Excel, R, SQL, SAS, or other common reporting and analysis toolkits
- Consulting experience with focus on structured problem solving, synthesis, and presentation