Software Engineer

Long Ridge Partners; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Long Ridge Partners is seeking a Senior Software Engineer for its Risk Technology team in New York. You will own end-to-end design and delivery of Python-based risk solutions, interfacing with risk research and management.

You will build scalable Python applications powering firm-wide risk systems and architect cloud-based services for real-time and batch workflows, collaborating with stakeholders to translate research into robust engineering.

Qualifications

• 7+ years of software development experience in financial services, preferably fixed income.
• Deep expertise in Python and/or C# with production-grade, scalable apps.
• Experience with large-scale datasets, storage, and data pipelines.
• Strong SQL and relational database knowledge.
• Self-starter able to define and execute a path forward independently.
• Degree in Computer Science, Mathematics, Engineering, or related field.

Responsibilities

• Design and develop scalable Python applications powering risk systems.
• Build interfaces and utilities for stakeholders to access risk data.
• Architect and deploy cloud-based services for real-time and batch risk workflows.
• Collaborate with Risk Research and Risk Management to translate research into code.
• Grow expertise in fixed income markets and risk modeling.
• Drive projects from inception to delivery with ownership and autonomy.

Skills

Python

C#

SQL

Large datasets

Cloud (AWS)

Risk modeling

Education

BS in CS/Math/Engineering

Tools

AWS

Kubernetes

Docker

Job description

Senior Software Engineer – Risk Technology

About

Long Ridge Partners is engaged with a leading multi-strategy hedge fund to identify a Senior Software Engineer for their Risk Technology team. The firm manages capital globally across equities, fixed income, macro, and commodities, and is known for combining disciplined risk management with a culture of intellectual curiosity and deep technology investment.

The Team

The Risk Technology team builds and maintains systems that drive risk measurement, reporting, guideline monitoring, and research across the firm. Primary stakeholders include the Risk Department, Portfolio Managers, the Client Relationship Group, and Senior Management. The team is currently executing on a multi-year initiative to build next-generation risk infrastructure, expanding coverage of new asset classes, modernizing architecture, and deepening capabilities in support of firm growth.

The Role

The Senior Software Engineer will partner directly with Risk Research and Risk Management teams, taking ownership of end-to-end design and delivery of Python-based solutions, from core utilities and user-facing interfaces to cloud-deployed services. This is a high-visibility role for an engineer who thrives at the intersection of finance and technology, and who wants their work to directly shape how a top-tier investment firm understands and manages risk

Key Responsibilities

• Design and develop scalable, production-quality Python applications powering firm-wide risk systems
• Build intuitive interfaces and core utilities enabling stakeholders to interact with risk data in meaningful ways
• Architect and deploy cloud-based services supporting real-time and batch risk workflows
• Collaborate closely with the Risk team to translate research initiatives into robust engineering solutions
• Develop and deepen expertise in fixed income markets and risk modeling
• Drive projects from inception through delivery with a high degree of ownership and autonomy

Qualifications

Required

• 7+ years of software development experience in financial services, preferably in fixed income asset management
• Deep expertise in Python and/or C#, with a strong track record of delivering production-grade, scalable applications
• Proven experience working with large-scale datasets, including storage, transmission, and transformation pipelines
• Strong command of SQL and relational database technologies
• A self-starter mindset with the ability to define a path forward and execute independently
• Degree in Computer Science, Mathematics, Engineering, or a closely related field

Nice to Have

• Experience with time series datasets
• Familiarity with cloud technologies such as AWS S3, Kubernetes, and Docker