Specialized Talent in The USA

We understand that hiring in the US market is uniquely competitive. Top-tier quant and technology professionals receive multiple offers, operate under complex non-compete agreements, and expect a recruiter who genuinely understands the technical depth of the roles they are being considered for. Our New York team brings direct, on-the-ground experience of this environment, with established relationships across both the buy side and sell side.

From placing C++ developers at proprietary trading desks to sourcing portfolio managers and research scientists for systematic funds, Radley James has built a reputation in the US as a firm that delivers with discretion and precision. We work with firms at every stage of growth, from early-stage fintech startups making their first critical hire to established institutions expanding their quant and engineering capabilities.

The US fintech sector continues to grow at pace, and so does our activity within it. We support payments companies, digital lending platforms, embedded finance businesses, insurtech firms, and regulatory technology providers in building the product, engineering, and commercial teams that drive growth. Whether a company is pre-Series A or preparing for an IPO, we understand the hiring pressures that come with each stage and know how to find the right people at the right time.

Artificial intelligence is reshaping the finance and technology landscape at speed, and demand for AI talent across the US is intensifying across every sector we work in. Radley James has developed a strong track record placing machine learning engineers, AI researchers, MLOps specialists, and applied scientists with firms integrating AI into their products and processes. We understand the nuances of this market well, from the difference between applied and research-focused profiles to the increasing overlap between AI engineering and traditional quantitative disciplines.