Quantitative Engineer

YOU WILL:

• Build client-facing APIs and AI-powered tooling: Contribute to dv01's External API products and AI assistant, designing RESTful endpoints, integrating structured finance domain knowledge into conversational interfaces, and connecting external tools to dv01's data platform.
• Integrate with modern connectivity standards: Work with MCP and similar integration patterns to connect AI agents and external tools to dv01's data platform, enabling seamless interoperability across client workflows.
• Model complex structured finance transactions: You will extract deal structures from offering memorandums, trustee reports, and other legal documents and create programmatic representations of the deals.
• Enhance and go to market with dv01’s revolutionary on-demand reporting tool: Partner internally with Credit Facility Reporting team to further develop the client-facing on-demand borrowing base reporting tool.
• Interact with a diverse team: We operate in a highly collaborative environment, which means you’ll interact with internal domain experts, product managers, engineers, and designers on a daily basis.

YOU ARE:

• A well-rounded engineer: You have a deep appreciation for engineering fundamentals holding over 6 years of experience. You understand the importance of writing tests, designing systems for long-term maintainability, and coming up with and evaluating different engineering approaches.
• Knowledgeable with structured finance: You have extensive experience with structured finance, including securitizations and credit facility transactions.
• Familiar with web application development: You have a good understanding of web technologies and are eager to build your skills in back-end development. You've worked on small projects or contributed to larger ones, gaining experience with APIs, databases, and creating simple, user-friendly interfaces. You're excited to learn more about building scalable applications and exploring how web development can integrate with complex data and financial systems.
• Curious about AI and API design: You're interested in how LLMs and well-designed APIs can make complex financial data more accessible. Prior experience is a plus but not required.
• Detail-oriented: You are meticulous about getting the small details right, but also a big picture thinker capable of abstracting specifics into global solutions.