eFI/eFX Quantitative Researcher

A global investment bank is seeking an Algo Quant to join its Electronic Fixed Income (eFI) team. This team focuses on electronic market making and automated trading across FX and Rates. Operating in a greenfield environment, the team offers a unique opportunity to help shape infrastructure, strategy, and tooling from the ground up.

Key Responsibilities

Algorithm Development

• Build real-time pricing and quoting algorithms.
• Develop auto-pricer and auto-quote systems.
• Implement auto-hedging logic and predictive spread adjustment strategies.
• Optimise spreads and market making logic for high-speed execution.
• Ensure algorithms operate efficiently.
• Contribute to execution algorithms and trading logic.
• Analyse client flow to identify alpha opportunities and profitable patterns.

Client Flow Analytics

• Forecast peak trading periods and system bottlenecks.
• Ensure optimal product coverage and resource allocation.

What We're Looking For

• Experience in electronic trading, quantitative research, or market making within FX or Rates.
• Strong programming skills: Python essential; Java or C++ preferred.
• Background in a major bank or trading firm with exposure to specialised trading teams.
• Comfortable working in a greenfield setup with autonomy and ownership.

Why Apply?

• Shape the architecture and strategy of a next-generation electronic trading platform.
• Work across a broad remit covering pricing, execution, and client analytics.
• Collaborate with traders, quants, and technologists in a fast-paced, high-impact environment.
• Competitive compensation and strong career progression in a technically driven team.