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Quantitative Developer – Mortgage Analytics

  • Source: LinkedIn
  • Goldman Lloyds
  • $200,000 to $250,000 /yr
  • On-site
  • New York City
  • Full-Time
  • Mid level

Job Description

**Quantitative Developer – Mortgage Analytics Leading Hedge Fund US East Coast Hybrid**

We are consulting a long-standing hedge fund to identify a Quantitative Developer to join a small, high-impact team of four supporting their fixed income and credit investment function. This seat combines deep mortgage analytics expertise with hands-on Python development — building and maintaining production-grade systems that feed directly into front office decision-making.

What You’ll Be Doing

  • Building and maintaining quantitative systems supporting mortgage analytics, credit modeling, and front office workflows
  • Working directly with analysts, traders, and portfolio managers to deliver new features and analytical tools
  • Developing and maintaining prepayment, delinquency, default, and credit models across Agency and Non-Agency RMBS
  • Engineering production-grade data pipelines and analytics infrastructure across large mortgage datasets
  • Supporting front office workflows across credit and fixed income products including CMBS, RMBS, and CLOs

What We Are Looking For

  • 5–10+ years of strong Python engineering experience in a production environment
  • Deep understanding of Agency and Non-Agency RMBS — prepayment, delinquency, default, and credit modeling
  • Experience with loan-level data, servicer reporting, and large structured-product datasets
  • Strong SQL and data engineering capability
  • Experience building production-grade quantitative systems — version control, testing frameworks, QC, and performance optimization
  • Familiarity with Yieldbook, Intex, Trepp, Markit, or Bloomberg MBS functions highly desirable
  • Bachelor’s, Master’s, or PhD in a quantitative discipline
  • 5+ years in mortgage analytics, fixed income quant development, or related quantitative engineering

Beneficial

  • Statistical modeling, Monte Carlo simulation, or machine learning applied to fixed income
  • C#, VBA, or C++ experience
  • ReactJS exposure

Location: US East Coast | Hybrid (3 days in office)

Compensation: Competitive base + bonus

Skills

  • Python
  • monte-carlo
  • c-sharp
  • cplusplus
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