Software Engineer - Quantitative Research Infrastructure

Job Title: Software Engineer – Quantitative Research InfrastructureLocation: NYC (Mid-Town)Client Type: Hedge FundEmployment Type: Full-Time, on-site HybridCompensation: Base + Competitive Bonus*Must Have - Investment Management/Financial Markets Experience (Hedge Funds, Asset Management, Sell-Side, Brokerage Houses, Financial Exchanges)We are working with a high-performance investment firm to identify an exceptional software engineer for a role that sits at the intersection of complex system design, algorithmic problem solving, and mission-critical infrastructure. This is not a typical engineering role — it is a seat built for developers who think deeply, write precisely, and thrive on hard problems.The EnvironmentYou will be joining a small, elite engineering function where the quality of thought matters as much as the quality of code. The problems are genuinely difficult, the standards are uncompromising, and the people around you will be among the strongest engineers you have worked with. There are no legacy codebases held together by convention — everything is built with intention.What Defines This RoleThis is deliberately broad. You will work across complex, intellectually demanding engineering challenges where the ability to decompose a hard problem, design a clean solution, and implement it with precision is the primary currency. The domain is less important than the depth.What We Are Looking ForExceptional command of data structures and algorithms — not textbook knowledge, applied engineering judgementStrong problem decomposition skills — ability to take an ambiguous, complex problem and architect a clean solutionCode clarity and a genuine intolerance for unnecessary complexitySystem design fundamentals — distributed systems, concurrency, performance-aware architectureThe kind of developer who reads their own code critically and raises the bar for everyone around themBackgroundStrong academic foundation — top-tier computer science or related discipline preferred8+ years of production engineering experience in a demanding, high-standards environmentExperience in quantitative finance, risk technology, or similarly complex domains is advantageous but not requiredC#.NET or Java at a production level — depth over breadthWhat Makes This DifferentSmall team, genuinely hard problemsNo bureaucracy, no endless sprint ceremoniesDirect exposure to quantitative researchers and senior technologistsCompensation structured to reflect exceptional talent