dv01 is a data management, reporting, & analytics platform that brings transparency & insight to lending markets- making them more efficient for institutional investors & safer for the world. In a nutshell, were doing our part to prevent a repeat of 2008.
As the technological hub between lenders & capital markets, dv01 provides all parties with unprecedented data transparency, insight, & analytics. To date, dv01 has offered institutional investors insight into $15+ billion of securitizations & more than $64 billion of consumer, small business, real estate, auto, & student loans from the largest online lenders, including LendingClub, Prosper, & SoFi.
To get a better idea of what a year at dv01 looks like, check out our 2018 Year in Review page here:https://dv01.co/2018yearinreview/.If that looks like fun to you, get in touch because we'd love to hear from you.
Be at the heart of dv01. You will operate as the bridge between the engineering & 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 & is critical to the success of our business.
Be customer-facing. You will have direct exposure to high-level contacts at hedge funds, banks, & asset originators, providing valuable insights to help them answer complex questions.
Work with state-of-the-art technology. You'll work with popular, modern, & exciting open source technologies like Apache Spark. The skills you develop here will serve you well beyond dv01.
A well-rounded engineer. You have 3+ 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 & performance constraints, & are also capable of performing ad-hoc data investigations with SQL.
Interest & experience in both engineering & finance. You're looking to grow your skills in both disciplines, & are excited about the synergies between finance & technology.
Knowledgeable about consumer credit. You understand how investors evaluate loan portfolios & the complexities of amortization, prepay, & default. You strive to further your knowledge in the credit market.
Excited about big data. You should have 3+ 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 & 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 & all qualified applicants & 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.