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Front Office Quantitative Modeler – CLO/ABS

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Onsite

Front Office Quantitative Modeler – CLO/ABS

Analytic Recruiting Inc.

Front Office Quantitative Modeler – CLO/ABS

Skills

Google Cloud PlatformPythonData AnalysisMachine LearningAWSRisk ManagementAzure

14 days ago

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Important information


Contract type:

Permanent

Salary:

$175,000 – $250,000 / year

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

14 October 2026

What they need


  • Location: New York, NY (Hybrid)
  • Leading $10B Hedge Fund | Quantitative Research Group

Summary

A premier $10B+ hedge fund is seeking a Structured Credit Quant Modeler to join its Quantitative Research team. This front-office role partners directly with Portfolio Managers to develop quantitative models, portfolio analytics, and scalable technology supporting investment decisions across CLO and ABS portfolios.

Key Responsibilities

  • Develop and enhance loan-level cash flow, credit, valuation, and prepayment models for CLO and ABS investments.
  • Build quantitative tools supporting portfolio analytics, pricing, risk management, and investment research.
  • Automate analysis of BWICs, dealer offerings, and new issue opportunities.
  • Design dashboards and monitoring tools to evaluate model performance and portfolio risk.
  • Develop scalable production infrastructure using Python and cloud technologies.
  • Collaborate closely with Portfolio Managers, Traders, and Quantitative Researchers to support investment strategies.

Qualifications

  • 4+ years of quantitative modeling experience within a structured credit hedge fund, asset manager, or investment bank.
  • Deep experience with CLO and ABS modeling. Experience with RMBS or CMBS is beneficial but not required.
  • Strong programming skills in Python and C++ .
  • Experience building loan-level cash flow, credit, valuation, or prepayment models from data ingestion through production deployment.
  • Experience applying statistical modeling and machine learning techniques.
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Experience with structured credit analytics platforms such as Kanerai, Valitana, Intex , or similar institutional tools is highly desirable.
  • Bachelor's degree in a quantitative discipline; Master's degree preferred.

Why Join?

This is a rare opportunity to join one of the industry's leading structured credit investment platforms. You'll work directly with senior investment professionals, developing quantitative models and analytics that have a measurable impact on portfolio construction, risk management, and investment performance.

Keywords : ABS, CLOs, Prepayment Modeler, RMBS, Python, C++, Software Developer, Valuation Models, CMBS,Cloud Expertise

Please send resumes to Jim Geiger [email protected]

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