dv01 is a data management, reporting, and analytics platform that brings transparency and insight to lending markets- making them more efficient for institutional investors and safer for the world. In a nutshell, we're doing our part to prevent a repeat of 2008.
As the technological hub between lenders and capital markets, dv01 provides all parties with unprecedented data transparency, insight, and analytics. To date, dv01 has offered institutional investors insight into $15+ billion of securitizations and more than $64 billion of consumer, small business, real estate, auto, and student loans from the largest online lenders, including LendingClub, Prosper, and SoFi.
Be at the heart of dv01. You will operate as the bridge between the engineering and finance teams, contributing to a variety of integral processes that drive dv01 on a daily basis. Every new dataset that gets integrated within dv01 will have your fingerprints all over it.
Be an owner of dv01's most valuable asset. You'll own the business logic in our data pipeline, encapsulating all the knowledge we've accumulated across hundreds of datasets. The output from the pipeline powers all of dv01's customer offerings and is critical to the success of our business.
Be customer-facing. You will have direct exposure to high-level contacts at hedge funds, banks, and asset originators, providing valuable insights to help them answer complex questions.
Work with state-of-the-art technology. You'll work with popular, modern, and exciting open source technologies like Apache Spark. The skills you develop here will serve you well beyond dv01.
A well-rounded engineer. You have 2+ years of professional programming experience with Apache Spark, Scala, Java, R, or Python. You are able to write thought-out code while accounting for resource and performance constraints, and are also capable of performing ad-hoc data investigations with SQL.
Interest and experience in both engineering and finance. You're looking to grow your skills in both disciplines, and are excited about the synergies between finance and technology.
Knowledgeable about consumer credit. You understand how investors evaluate loan portfolios and the complexities of amortization, prepay, and default. You strive to further your knowledge in the credit market.
Excited about big data. You should have 2+ years of professional engineering experience working with large datasets, with exposure to large datasets related to loan products an added plus. You enjoy working with data, from expressing complex business logic as scalable data processing logic to configuring and debugging intricate big data pipelines. You love the intricate details of a thorough investigation, but also stay aware of the bigger picture while operating across multiple threads of work.
Undergraduate or graduate degree in Finance, Math, or Engineering. Note that we're not anti dropouts if you're a superstar.
dv01 is an equal opportunity employer and all qualified applicants and employees will receive consideration for employment opportunities without regard to race, color, religion, creed, sex, sexual orientation, gender identity or expression, age, national origin or ancestry, citizenship, veteran status, membership in the uniformed services, disability, genetic information or any other basis protected by applicable law.