Quant Dev / Data Scientist - New York, NY

Stealth Recruiting Services - New York, NY

Full-time - Mid Level

New York, NY

About the position

The Quantitative Software Developer / Credit Modeler position at a leading hedge fund involves developing and enhancing credit models in the securitized products space. This hybrid role combines credit modeling with software development, focusing on data-driven credit risk analysis and the creation of production-quality ETL processes. The successful candidate will collaborate with various stakeholders to deliver high-quality data solutions and leverage machine learning technologies to drive investment and risk management decisions.

Responsibilities

• Estimate, develop, and enhance credit models in the securitized products space via data-driven credit risk analysis.
• Develop production quality ETL and data integrity processes to build and maintain credit models.
• Create visual tools for monitoring, back testing, and adjusting model performance.
• Develop tools to analyze bid lists, dealer offerings, and new issue deals in the structured credit space with an eye towards automation.
• Collaborate with data scientists, analysts, traders, and other stakeholders to understand requirements and deliver high-quality data solutions.

Requirements

• BS in Computer Science, Statistics/Data Science, Mathematics, or Financial Engineering from a top university; MS degree preferred.
• 2-4 years experience as a research modeler/quant developer in a hedge fund, asset manager, banking, or fintech environment focused on structured products or consumer credit.
• Proven modeling skills in R and Python, with experience building loan-level credit/prepayment models from data preparation to deployment.
• Experience with generalized regression models and machine learning frameworks.
• Very strong programming and software design skills in Python and C++.
• Very strong SQL and database skills for creating and maintaining necessary tables for data preparation and analysis.
• Excellent communication skills and ability to work collaboratively in a team environment.

Nice-to-haves

• Experience creating visualization tools for monitoring or model performance adjustment in a modern JS framework (React, Angular, Vue).

Benefits

• Competitive salary and benefits package.
• A dynamic and inclusive work environment with opportunities for professional growth.
• Access to the latest technologies and tools in the data engineering field.
• Support for continuous learning and career development.