FX Quant Developer: Low-Latency Algo & Production

HSBC Holdings plc; Greater London; On-site; GBP 120,000 - 170,000; Full time

Job summary

HSBC Holdings plc is seeking a front-office Quantitative Developer to build and scale low-latency FX pricing and execution models. You will own end-to-end delivery of quant models, collaborating with eRisk researchers, traders and technology teams globally to deliver production-grade components.

In this role you will develop algorithmic pricing strategies in Java, tune low-latency systems for high-volume trading and contribute to platform architecture and engineering standards across the team.

Qualifications

• Experience in FX pricing/algorithmic execution
• Hands-on Java server-side development in low-latency environments
• Proven ability to own end-to-end quant model delivery to production
• Strong documentation and collaboration across trading, IT and control functions

Responsibilities

• Develop algorithmic pricing strategies in Java for eRisk trading applications
• Own end-to-end delivery of quant models into production across pricing and execution components
• Extend and maintain the algorithmic codebase with strong engineering and testing practices
• Participate in peer code reviews to ensure quality and maintainability
• Collaborate with IT, Production Support and other teams to run services in production
• Assist with deployment to development and test environments as needed
• Mentor junior developers with practical support and feedback

Skills

Java server-side

Low-latency systems

Multithreaded development

Production-grade software

Agile delivery

Job description

HSBC Holdings plc is seeking a front-office Quantitative Developer to build and scale low-latency FX pricing and execution models. You will own end-to-end delivery of quant models, collaborating with eRisk researchers, traders and technology teams globally to deliver production-grade components.

In this role you will develop algorithmic pricing strategies in Java, tune low-latency systems for high-volume trading and contribute to platform architecture and engineering standards across the team.