Quantitative Software Developer

2 weeks ago


New York, New York, United States Stealth Recruiting Services Full time
Job Opportunity

We are seeking a highly motivated and talented Quantitative Software Developer/Credit Modeler to join our team at Stealth Recruiting Services.

Job Summary

This is a hybrid credit modeling/software development role that requires a strong academic background and a passion for data, machine learning, and collaboration.

Responsibilities

  • 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, backtesting, 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.

Qualifications

  • 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 as 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.

Why This is a Great Opportunity

  • 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.


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