What are the responsibilities and job description for the Software Engineer - Quantitative Research Infrastructure position at Goldman Lloyds?
Job Title: Software Engineer – Quantitative Research Infrastructure
Location: NYC (Mid-Town)
Client Type: Hedge Fund
Employment Type: Full-Time, on-site Hybrid
Compensation: 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 Environment
You 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 Role
This 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 For
- Exceptional command of data structures and algorithms — not textbook knowledge, applied engineering judgement
- Strong problem decomposition skills — ability to take an ambiguous, complex problem and architect a clean solution
- Code clarity and a genuine intolerance for unnecessary complexity
- System design fundamentals — distributed systems, concurrency, performance-aware architecture
- The kind of developer who reads their own code critically and raises the bar for everyone around them
Background
- Strong academic foundation — top-tier computer science or related discipline preferred
- 8 years of production engineering experience in a demanding, high-standards environment
- Experience in quantitative finance, risk technology, or similarly complex domains is advantageous but not required
- C#.NET or Java at a production level — depth over breadth
What Makes This Different
- Small team, genuinely hard problems
- No bureaucracy, no endless sprint ceremonies
- Direct exposure to quantitative researchers and senior technologists
- Compensation structured to reflect exceptional talent
Salary : $250,000 - $350,000