Software Engineer, Hedge Fund

• 0-2 years of professional experience in software engineering or quantitative development
• Bachelor’s degree in Computer Science, or a closely related technical field (Math, Physics, Statistics also relevant)
• Strong proficiency in Python; C++ experience is a major plus
• Exceptional problem-solving skills and a genuine passion for building scalable, performant systems
• Demonstrated ability to write clean, maintainable, and testable code
• A strong communicator who thrives in high-velocity environments
• Self-starter mindset and the ability to navigate ambiguity in technical direction or business context

Preferred (Not Required)

• Internship or full-time experience at top-tier tech companies, startups, or research labs
• Coursework or TA experience in Algorithms, Systems Programming, or Distributed Systems
• Experience contributing to impactful backend projects or infrastructure at scale
• Exposure to high-performance computing, containerization (e.g., Kubernetes), or Linux internals

• Total Compensation: $400,000-$500,000 (includes large annual cash bonus; no equity component)
• Work Authorization: Open to candidates with transferable work authorization. Visa transfers considered; new sponsorships not supported.
• Benefits: Industry-leading medical, dental, and vision coverage; commuter benefits; meals and snacks provided onsite
• Office Perks: Work in a premium office in Manhattan with top-tier engineers and quantitative minds

We are partnering with one of the world’s most elite and technically sophisticated hedge funds to help build the next generation of quantitative developers. This firm operates at the intersection of cutting-edge research and high-performance engineering. Their teams are composed of industry-defining talent - engineers and researchers collaborating to solve deeply complex problems in real-time markets.

This is a unique opportunity to join a deeply technical environment where your impact will be felt immediately, and where the bar for engineering excellence is extraordinarily high. If you’re excited by low-level performance, building tools that power billion-dollar decisions, and working in a team that values precision, speed, and ownership - this may be the most compelling role of your early career.

What You Will Do

• Build and optimize mission-critical systems for real-time quantitative research and trading workflows
• Write production-quality code in Python and potentially C++ (if applicable to your background)
• Work alongside researchers to develop the tooling and infrastructure needed to support experimentation, strategy modeling, and large-scale data analysis
• Tackle high-performance challenges related to latency, throughput, and system reliability
• Take ownership of technically ambiguous problems and drive them from idea to deployment
• Operate in a fast-paced, feedback-driven culture where decisions are made quickly and impact is measured in days, not quarters