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 be a critical resource in taking dv01's reporting infrastructure to the next level, contributing to a variety of integral processes that drive dv01 on a daily basis.
Directly impact our largest product offering. dv01 has established itself as a centerpiece in the securitization ecosystem within Marketplace Lending & is quickly developing that reputation within other asset classes. You will become a key stakeholder in expanding & scaling our securitization offerings right off the bat.
Serve as a technical mentor & thought-leader. You will work closely with our team of Reporting & Loan Analysts to transform existing scripts into well-tested, productionalized packages within our R infrastructure. You will be instrumental in developing a stronger engineering culture across our reporting efforts while continuously striving to improve through innovation.
Work with state of the art technology. You will have the opportunity to work with exciting, cutting-edge R technologies, building on-top of an infrastructure that leverages Spark under-the-hood to source all of our data in the cloud.
An experienced developer, with significant R chops. You have at least 3 - 5 years of professional software development experience, with at least 3 years experience working in R. You have worked within productionalized infrastructures, handling datasets that cross into the 10+ GB range & have spent your fair share of time dealing with resource & performance considerations.
An experienced teacher or mentor. You not only have experience helping team members grow as engineers, but love to go out of your way to help people maximize their potential. You make the time to meet with developers for code reviews, knowledge shares, & technical trainings.
Interest & experience in both engineering & finance. You're looking to grow your skills in both disciplines, & are excited about the synergies between finance & technology.
Undergraduate or graduate degree in Finance, Math, or Engineering. Note that we're not anti dropouts if you're a superstar.