Software Engineer

My client is a top investment firm based in Greenwich, CT. Looking for an engineer to join their reserach engineering group.

Your Role

As a software engineer you will build or extend our:

• Scalable, AWS-based storage and computing infrastructure
• Generalized research platform
• Data ingestion and validation engine
• Model computation and signal generation pipeline
• Machine learning / Natural Language Processing pipeline

What You’ll Bring

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field.
• 3-5 years of professional software engineering experience building production software.
• Strong programming skills in Python; experience with C++ is a plus.
• Experience developing software on Linux.
• Experience building cloud-native applications using AWS or similar cloud platforms.
• Experience working with distributed systems, scalable applications, and large-scale data processing.
• Proficiency with SQL and experience working with structured data at scale.
• Hands-on experience building or integrating native AI applications, including practical experience working with large language models (LLMs), AI agents, or AI-assisted workflows.
• Solid understanding of the strengths, limitations, and practical tradeoffs of LLMs, agentic systems, and modern AI technologies.
• Ability to take open-ended business or technical problems, work with stakeholders to clarify requirements, and develop practical, well-reasoned technical solutions.
• Comfortable operating in environments where requirements evolve, exercising sound engineering judgment rather than relying on detailed specifications.
• Strong software engineering fundamentals, including system design, testing, code quality, and maintainability.
• Excellent communication and collaboration skills, with the ability to explain technical concepts and work effectively across teams.
• Experience supporting quantitative research, machine learning platforms, or financial technology applications is a plus.
• Familiarity with investment research, signal generation, portfolio construction, or trading systems is a plus.