The Company is seeking an experienced VP-level eFX Quant Analyst to join their dynamic team. The successful candidate will be instrumental in the development and deployment of systematic eFX market-making and high-frequency trading strategies, utilizing statistical and machine-learning techniques on high-frequency, asynchronous datasets. This role is pivotal in sustaining the growth of the eFX business, and the candidate will be responsible for owning a significant portfolio of algorithms, leading a team of quants, and driving research from prototype to production. The ideal candidate will have a proven track record in the field, a postgraduate degree in a quantitative discipline, and a strong background in building and maintaining production quantitative trading systems. Key responsibilities for this role include mentoring and developing the quant team, using data to identify new P&L opportunities, and ensuring the robustness and effectiveness of models in a low-latency environment. The role requires a candidate with a creative and results-driven approach, a healthy skepticism about in-sample results, and a desire to work in a collaborative, team-driven environment. Proficiency in a fast prototyping language, such as Python, and a working knowledge of an industrial-scale language like Java or C++ is essential. Experience with agentic coding tools and AI coding assistants is a plus. The candidate should be prepared to partner with trading, technology, and risk stakeholders to enhance the electronic pricing and risk-management models used in the FX business.

Hiring Company

State Street