Analytics Engineer
Machinify- Full Time
- Mid-level (3 to 4 years)
dv01 is lifting the curtain on the largest financial market in the world: structured finance. The $16+ trillion market is the backbone of everyday activities that empower financial freedom, from consolidating credit card debt and refinancing student loans, to buying a home and starting a small business. dv01’s data analytics platform brings unparalleled transparency into investment performance and risk for lenders and Wall Street investors in structured products. As a data-first company, we wrangle critical loan data and build modern analytical tools that enable strategic decision-making for responsible lending. In a nutshell, we're helping prevent a repeat of the 2008 global financial crisis by offering the data and tools required to make smarter data-driven decisions resulting in a safer world for all of us. More than 400 of the largest financial institutions use dv01 for our coverage of over 75 million loans spanning mortgages, personal loans, auto, buy-now-pay-later programs, small business, and student loans. dv01 continues to expand coverage of new markets, adding loans monthly, and developing new technologies for the structured products universe.
Data management and analytics for lending markets
dv01 provides a data management and analytics platform specifically designed for the lending markets. It offers detailed insights into loan-level data for various types of loans, such as consumer unsecured loans, non-QM loans, auto loans, and student loans. The platform helps financial institutions make informed decisions by allowing them to analyze loan performance, track loans in forbearance, and evaluate their portfolios over time. dv01 differentiates itself from competitors by standardizing loan-level data and offering tools for performance metrics and ESG data analytics, which are essential for impact investments. The company's goal is to enhance transparency and intelligence in the lending market, enabling clients to identify risks, project cashflows, and compare loan datasets effectively.