Data Analyst - Finance
KrakenFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Proficiency with SQL, R, or Python to analyze large datasets is required, along with 3+ years of experience working with financial data including loan-level originations and servicing data.
Experience working with securitizations and/or multiple asset classes is preferred.
Yes, you will directly communicate with contacts at hedge funds, banks, and asset originators, providing valuable reporting and analytics services.
You will work closely with engineering teams to develop and productize solutions, while being on the cutting edge of structured finance and technology.
This information is not specified in the job description.
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.