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ABS Desk Quant

Selby JenningsManhattan, NY🇺🇸United StatesPosted 12 Aug 2026

Why This Role Stands Out

This hybrid role offers a significant opportunity to drive investment decisions and shape portfolio strategies within a leading hedge fund, leveraging your advanced modeling skills across diverse ABS markets. You'll thrive here if you're a quantitative professional with a passion for structured credit and a desire for high visibility and direct impact. Apply now to join a dynamic team and advance your career at the forefront of the investment process.

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

A leading hedge fund specializing in asset-backed securities and structured credit is seeking an SVP, Lead Desk Quant for a highly impactful front-office role at the heart of their investment process. This opportunity involves becoming a primary quantitative partner to traders and portfolio managers by helping drive investment decisions, uncover trading opportunities, and shape the fund's portfolio across the structured credit space. They are looking for a candidate who will leverage advanced modeling and analytics across the US ABS, EUROPEAN ABS, and RMBS markets. This role provides significant visibility to the organization, investment influence, and trading strategies.

Key responsibilities:
  • Develop and maintain quantitative models for ABS, RMBS, Consumer loans, and other structured credit assets.
  • Build and enhance prepayment, default, delinquency, severity, and loss forecasting models across mortgage and consumer credit sectors.
  • Collaborate directly with investment teams to evaluate relative value opportunities, formulate investment theses, and support portfolio construction.
  • Design risk analytics and valuation frameworks used in trading, portfolio management, and strategic decision-making.
  • Work alongside portfolio managers and traders on new product development, investment strategies, and tailored credit opportunities.

Job requirements:
  • 3-5 years of experience in asset backed securities, RMBS, and consumer loans
  • Extensive experience building statistical models for prepayment, default, loss for mortgage, and ABS assets
  • Prior work done with investment teams to deploy new products and risk models
  • Implement and design model performance monitoring methodology and tools.
  • Strong proficency in python
  • Masters or Ph.D. in a quantitative discipline is highly preferred

Skills

Forecasting
Portfolio Management
Python

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