Data Analyst, Finance
VercelFull Time
Junior (1 to 2 years)
The ideal candidate has extensive experience with structured finance, including securitizations and credit facility transactions. They should be familiar with web application development, including APIs, databases, and creating user-friendly interfaces, and be fluent in at least one programming language such as Scala or Python. Comfort working with large datasets (millions of rows, hundreds of columns) using tools like R, Python, Stata, SAS, Tableau, or SQL is essential. The candidate must be detail-oriented, a big-picture thinker, and proactive, with a forward-thinking and innovative mindset.
The role involves modeling complex structured finance transactions by extracting deal structures from legal documents and creating programmatic representations. Responsibilities include enhancing and launching dv01’s on-demand reporting tool in collaboration with the Credit Facility Reporting team. The Quantitative Engineer II will interact with a diverse team of domain experts, product managers, engineers, and designers in a collaborative environment and engage with clients, including investment banks, hedge funds, and large banks, to model transactions and develop DealStudio.
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.