Quant Dev / Data Scientist - New York, NY - Stealth Recruiting Services : Job Details

Job Description 10 Billion AUM Hedge Fund, we are committed to developing state of the art models and technology, driving our investment and risk management decision making processes. This platform is driven by cutting-edge, cloud-based data & ML solutions. We are looking for a highly motivated and talented Quantitative Software Developer / Credit Modeler with a strong academic background and a passion for data, machine learning and the desire to join a strong, collaborative team. Responsibilities:

• This is a hybrid credit modeling / software development role
• Estimate / develop and enhance credit models in the securitized products (RMBS/CMBS/ABS/CLO) 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

• BS in Computer Science, Statistics/Data Science, Mathematics, or Financial Engineering degree 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. Experience building loan-level credit / prepayment models through all stages from data preparation, data analysis, model estimation through deployment into production
• Experience with generalized regression models as well machine learning frameworks
• Very strong programming and software design skills (Python, C++) required
• Very strong SQL and DB skills for creating/maintaining necessary tables for data preparation and analysis
• Excellent communication skills and ability to work collaboratively in a team environment with a flexible, organized, and driven personality
• Enthusiastic about leveraging models into the firm's investment process in the structured credit space (RMBS, CMBS, ABS, CLOs)
• Knowledge of structured products and/or risk management in a fixed-income environment is required
• Experience creating visualization tools for monitoring or model performance adjustment in a modern JS framework (React, Angular, Vue) is a plus

• 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