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.
At its core, Addepar is a data company. We collect position, transaction, and security information from nearly 100 custodial banks, as well as market data from many well known data providers. To this end, Addepar has built an ETL pipeline to integrate all of this data and ship it to clients on a daily basis. You'll be helping to build a small high-impact team that will turn data into insights. You should expect to be challenged with tasks ranging from modeling complex systems, detecting anomalies, building classifiers for equities, to time-series analyses. You will work on the "full stack" of data science from problem definition all the way to delivery to prod.