Senior Software Engineer – Quantitative Computing Platform

A NY based Structured Credit Investment firm is undertaking a major, multi-year initiative to build a next-generation quantitative computing platform designed to significantly increase computational capacity, speed, and the ability to develop and deploy sophisticated quantitative analytics.

The platform will support a broad range of applications, including pricing, valuation, forecasting, quantitative modeling, analytics, and model review .

We are seeking a senior software engineer with substantial hands-on experience designing and building large-scale computational libraries and platforms . This is not primarily an application-development role. The successful candidate will help build the underlying technology and architecture that other quantitative developers and applications will rely upon.

Responsibilities

• Design and build large-scale, reusable computational libraries and software platforms supporting quantitative and financial applications.
• Develop high-performance components, APIs, frameworks, and services used across multiple development teams.
• Work with quantitative researchers and developers to translate complex pricing, valuation, forecasting, and analytics requirements into scalable software.
• Architect systems capable of supporting increasingly large and computationally intensive workloads.
• Leverage cloud computing, distributed computing, AI/ML, and modern software-development techniques to improve computational speed and capacity.
• Develop robust CI/CD, automated testing, regression testing, and deployment frameworks for a large computational codebase.
• Optimize systems for performance, scalability, reliability, and maintainability.
• Contribute to architectural and technology decisions for the next generation of quantitative computing infrastructure.
• Work closely with senior technology and quantitative professionals to establish development standards and best practices.

Required Qualifications

• 5+ years of professional software engineering experience , with significant experience working on large-scale systems.
• Demonstrated experience designing and building shared software libraries, frameworks, or computational platforms used by multiple developers or applications.
• Strong C++ and Python development skills.
• Experience designing APIs and reusable software components.
• Strong understanding of software architecture, object-oriented design, data structures, and algorithms.
• Experience with performance optimization, parallelism, concurrency, or distributed computing .
• Experience working within modern CI/CD and automated testing environments .
• Experience working with large, complex codebases and development teams.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience building quantitative, financial, scientific, or numerical computing platforms .
• Experience with pricing, valuation, risk, fixed income, structured products, or other financial analytics.
• Experience with GCP, Kubernetes, Docker, or other cloud/distributed-computing technologies .
• Experience with numerical libraries, Monte Carlo methods, optimization, or computational modeling.
• Experience incorporating AI/ML into software development, quantitative modeling, or computational workflows .
• Experience working in financial services, asset management, hedge funds, investment banking, or financial technology.

Why This Role?

This is an opportunity to help architect the firm's next-generation structured credit analytical platform —bringing modern cloud and software engineering technologies to sophisticated fixed income investment processes.

The ideal candidate is someone who can speak the language of structured credit and also build the technology that transforms how it is analyzed.

Keywords:Software Engineer, Python, Fixed Income Analytics, Cloud Platforms, CI/CD pipelines, ML and AI financial applications

Please send resume to Jim Geiger [email protected]