Quantitative Developer - Algorithmic Trading

HSBC Group; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

HSBC is seeking a front-office Quantitative Developer to build low-latency FX pricing and execution models within the eRisk team of Global Banking and Markets. You will own end-to-end delivery from model to production, partnering with quants, traders and technology colleagues worldwide.

The role emphasizes hands-on development in Java, performance-critical systems and a strong engineering culture, with opportunities to influence platform architecture and engineering standards across the team.

Qualifications

• Proven experience in FX spot, FI, Rates or Equities algorithmic execution and pricing.
• Strong Java server-side development in multithreaded environments.
• Hands-on experience lowering latency for high-volume electronic trading.
• Knowledge of trading desk operating models in a large multi-site bank.
• Experience delivering enterprise systems via agile delivery.
• Understanding of Spot FX and Forward FX market conventions.

Responsibilities

• Develop algorithmic pricing strategies in Java for eRisk trading applications.
• Partner with eRisk Quantitative Analysts to shape algo specifications and deliver production implementations.
• 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 business and control functions to ensure algos function safely in production.
• Assist with deployment of components to development and test environments.
• Mentor junior developers through practical support and feedback.
• Partner effectively with IT, Production Support and other teams across the bank to deliver and run services.

Skills

FX algo execution

Java server-side

Low-latency

Agile delivery

Production-grade

Code reviews

Job description

Ready to build low-latency FX pricing and execution models at scale? This is a front office Quantitative Development role, part of the Quant team working closely with revenue generating teams. eRisk sits within HSBC's Global Banking and Markets division and is a key business line responsible for algorithmic trading across FX, FI, Rates and Commodities. The role focuses on turning quant-defined models into production-grade components across the full pricing and algorithmic execution stack. You'll take end-to-end ownership for architecting, developing, testing and releasing models into production, partnering closely with eRisk Quant researchers and working with sales, traders and technology colleagues globally. The work is hands-on and performance-critical with a strong focus on low-latency distribution and pricing. Success means reliable, safe and well-engineered algos that support high-volume electronic trading and can be delivered at pace through agile ways of working. You'll also contribute to platform architecture direction and strengthen engineering standards across the team.

What you'll be doing

• Develop algorithmic pricing strategies in Java for eRisk trading applications
• Partner with eRisk Quantitative Analysts to shape algo specifications and deliver production implementations
• Own end-to-end delivery of quant models into production across pricing and algorithmic execution components
• Extend and maintain the algorithmic codebase while embedding strong engineering and testing practices
• Participate in peer code reviews and contribute to a consistent approach to quality and maintainability
• Partner with business and control functions to ensure algos function safely and correctly in production use
• Assist with deployment of components to development and test environments when required
• Contribute to platform architecture direction and mentor junior developers through practical support and feedback
• Partner effectively with IT, Production Support and other teams across the bank to deliver and run services

Required skills & experience

• Bring proven experience in FX spot, FI, Rates or Equities algorithmic execution and pricing
• Demonstrate strong Java server-side development capability in multithreaded environments
• Show hands-on experience developing and tuning low-latency systems for high-volume electronic trading
• Apply strong knowledge of trading desk operating models in a large multi-site investment bank environment
• Demonstrate experience delivering enterprise systems through agile delivery of business requirements
• Show practical understanding of Spot FX and Forward FX market conventions

About HSBC

HSBC is one of the largest banking and financial services organisations in the world. Guided by our purpose of opening up a world of opportunity, our ambition is to become the world's most trusted bank globally, putting customers at the heart of everything we do.

If you want to build and release performance-critical models that directly support pricing, liquidity and electronic execution this role offers genuine end-to-end ownership. You'll work closely with quants and front office stakeholders to turn specifications into robust production components. The team operates globally and works collaboratively across sales, trading and technology to deliver market-facing capabilities.

Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role. If you have a need that requires accommodations or changes during the recruitment process, please contact the Recruiter.