Quant: RMBS / ABS Credit

Quantitative Analyst / Associate - Structured Credit

Firm Overview

A New York-based alternative investment manager with multi-billion-dollar AUM, investing across structured credit, corporate credit, and opportunistic strategies. The firm manages a range of vehicles, including hedge funds and registered products, and is known for its data-driven, relative value approach to complex credit markets.

Role Overview

The firm is seeking an Associate-level Quantitative Analyst to join its investment team in New York. This role will focus on structured credit, with an emphasis on RMBS and related asset-backed securities. The candidate will work closely with portfolio managers and senior investors to develop analytics, support investment decisions, and enhance the firm's quantitative infrastructure. This is a hands-on role at the intersection of investing, data science, and technology.

Key Responsibilities

• Develop and maintain quantitative models for structured credit products, including RMBS, ABS, and related instruments
• Analyze large datasets to identify relative value opportunities across structured credit markets
• Build and enhance tools for cash flow modeling, scenario analysis, and risk assessment
• Support portfolio construction, surveillance, and risk monitoring across structured products
• Partner with investment professionals to translate market views into quantitative frameworks and actionable insights
• Improve data pipelines, automation, and analytics infrastructure to increase efficiency and scalability
• Assist with valuation, pricing, and performance attribution of structured credit positions

Qualifications • 3-7 years of relevant experience in structured credit, quantitative investing, or financial engineering

• Strong programming skills (Python preferred; experience with SQL, R, or similar tools a plus)
• Solid understanding of RMBS, ABS, and structured finance concepts (cash flows, prepayments, credit risk)
• Experience building financial models and working with large, complex datasets
• Familiarity with loan-level data and structured product analytics tools is preferred
• Strong problem-solving skills with the ability to work both independently and collaboratively
• Effective communication skills, with the ability to present complex quantitative concepts clearly

Preferred Background • Experience with mortgage analytics, prepayment/default modeling, or securitized products

• Exposure to trading desks, hedge funds, or asset managers focused on structured credit
• Advanced degree in a quantitative field (e.g., Finance, Mathematics, Engineering, Computer Science) is a plus

Market Compensation: $120-$200k salary + discretionary bonus