Junior Trading/Fintech Software Engineer

Kickstart your career in finance at this stable Greenwich hedge fund hedge fund where tech is respected and drives the business. You'll join an 8+ person engineering team that's embedded directly with portfolio managers, traders, and quants, not tucked behind a ticket queue.

The Setup

• Fixed income focused trading strategies with a long, steady record, still adding new capabilities as the business evolves

• New work in Python and AI: unstructured data, LLM-assisted workflows, and internal tooling that didn't exist a couple years ago

• This is not a pure AI or quant-modeling role. It's business-first: the work only matters if it holds up under a trader's or PM's scrutiny

• Core systems run on .NET/C#/SQL Server; mature, production-grade, and not going anywhere

• CTO rose through the ranks from senior developer and remains close to the software team. This isn't a hire-and-disappear leadership structure.

What You'd Own

• A real hand in the firm's AI buildout: LLMs and AI-assisted workflows woven into internal tools, research pipelines, and developer tooling itself

• Individual contributions and, over time, ownership over projects that impact revenue, not the just ticket queue

• Production support on systems people actually depend on: signal dashboards, portfolio management, trade feeds, risk, accounting

• Modernizing and extending existing APIs, frameworks, and CI/CD pipelines using proven architectural patterns, not reinventing what already works

• Data analysis and reconciliation work that validates whether a system is actually right, not just running

Why This One's Different

• You're not siloed with other junior engineers.  You're in the room with senior engineers, portfolio management, research, and trading on day one

• The firm's most senior technologists came up through this same function, so the path from junior engineer to real influence depends on your effort and contribution

• Old-school infrastructure, but the appetite for Python and AI-driven work is real and growing.  You'd be building the newer half of that story, not just maintaining the old one

• Flexible, non-linear growth: engineering, research, even portfolio-adjacent paths are genuinely open over time

Who Fits

• Recent grad through ~3 years out, internships and independent projects count

• Solid computer science fundamentals; syntax, algorithms and data structures, design patterns, even without a conventional finance-tech background

• Comfortable with SQL and a handle on query performance, not just syntax

• Already building with AI-assisted coding tools (RAG, LLMs, Claude Code, Cursor, Copilot) and has a thoughtful point of view on using them in production code, not just a toy project

• Working knowledge of C#, JavaScript, or TypeScript; React exposure is a plus, and you're comfortable owning front-end work, not just consuming it

• Python is ideal, but not a prerequisite.  The curiosity to pick it up fast matters

• Strong sense of ownership: you don't wait to be told exactly what to build

Growth

• Career paths here aren't linear.  Technologists have moved into research, risk, even trading-adjacent roles over time

• Advancement comes from real contribution and business impact, not tenure

The Stack
Python, TypeScript/JavaScript, LLM-based tooling, TypeScript/JavaScript, C#, .NET, SQL Server, React