Investment Engineer (Asset-Based Finance) - Rapidly growing investment manager

We're hiring an investment engineer for a leading, diversified and high performing investment manager. This firm is one of the fastest growing and most innovative investors in the market.

Their investment portfolio spans real estate, private markets, traditional liquid markets and unique investments like sports.

The Role

This associate level role sits in the Investment Engineering team, specifically supporting our client's high-growth Asset-Based Finance business. Reporting directly to the desk head, you will be part of a lean, high-impact team of three. This is a "front-to-back" engineering and quant strat role where your code and modeling directly influences investment decisions and capital deployment.

We are looking for a hybrid talent: someone who possesses the rigor of a software engineer but speaks the language and possesses the technical skillset of a quantitative researcher. You will be responsible for building and maintaining the distributed systems and analytics engines that power their structured finance valuations.

Core Requirements

• Experience: 2–6 years of professional experience. This role is perfect for a professional looking to pivot into a premier buy-side environment.
• Quantitative Finance: This is not a "pure" CS role. You must have a solid grasp of Fixed Income and Bond Math (durations, convexities, yield calculations).
• Technical Stack: * Expertise in Python and SQL.
• Experience with AWS cloud infrastructure.
• Working knowledge of distributed computing systems and database architecture.
• AI-Native Workflow: Proficiency with AI coding tools (e.g., Claude, Windsurf) is a significant advantage. We value engineers who leverage modern tools to ship faster and smarter.

Preferred Qualifications

Asset Class Knowledge: Prior experience in Structured Finance (RMBS, CMBS, or ABS) is highly valuable.

Sector Focus: A background in Credit is preferred, though experience in Rates will be considered.

Backgrounds:

• We also welcome candidates from Risk Analytics or Model Validation looking to transition into a Front Office role as long as they have strong CS fundamentals and excellent communication as this is a front office role that works closely with the business day to day.
• Quantitative Researchers with a strong interest in the engineering and implementation side of the stack.

Why This Role?

• High Visibility: You aren't a cog in a machine; you are 1 of 3 engineers directly impacting a huge growing platform
• Modern Tech: We aren't bogged down by legacy systems; we prioritize AWS, distributed systems, and AI-assisted development.
• Work very closely with the business and investments team, sitting at the intersection of engineering, investments, quant modeling and risk management.

This is an urgent hire, so please apply today if you would like to be considered!