FX Risk Lead Java Developer + AI (VP)

Description

The company runs global FX risk technology, with about $5 trillion passing through its network each day and business in more than 180 countries.

This is a Lead Java Developer (Vice President) role in the FX Risk technology team, focused on real-time FX risk management systems.

The team works with an internal GenAI toolset that is already part of daily engineering work, not a pilot.

The platform is a greenfield application, in production for 3 years, with a strategic commitment of 10+ years from the business.

The role is an individual contributor position with no direct reports.

Responsibilities

• Lead end-to-end delivery of complex, high-performance Java applications for FX risk management across global markets.
• Design scalable, low-latency solutions that process real-time risk data, building in resilience, performance and security from the start.
• Set technical direction and make key decisions on system design, architecture and engineering standards for the team.
• Turn complex business requirements into robust, high-quality code, working with quantitative analysts, traders and business stakeholders.
• Build scalable software in an agile setting, using AI coding tools to speed up delivery without lowering standards.
• Act as the team's technical reference point, raising engineering quality through example, guidance and knowledge sharing.
• Evaluate, propose and adopt new technologies and frameworks.
• Take part in mandatory cross-team code reviews, supported by the company Squad AI reviewers and peer engineers, to check security, quality and compliance.
• Own L3 production support issues, resolving them quickly and delivering long-term fixes for root causes.
• Support testing and post-production deployment, writing TDD-first code and validating weekly releases.
• Contribute to the firm's technology strategy for risk technology at global scale.

Requirements

• Proven hands-on Java experience, with a strong focus on Core Java and multithreading in high-load, high-throughput systems.
• Deep understanding of JVM performance, including memory profiling, GC tuning and performance optimisation.
• Solid understanding of distributed systems architecture and in-memory computing.
• Proven production experience with Apache Ignite, used at scale.
• Strong MongoDB skills: CRUD operations, indexing and performance tuning in production.
• Deep SQL knowledge and Oracle query optimisation.
• Solid experience with Apache Kafka and/or Solace messaging.
• Proficiency in Linux and scripting, comfortable on the command line and automating tasks.
• Experience deploying and maintaining applications on AWS, Azure or similar cloud platforms.
• A strong commitment to Test-Driven Development, writing tests first.
• Readiness to take part in L3 production support and own release activities end to end.
• Nice to have: experience in financial services technology, particularly risk, trading or capital markets.
• Nice to have: familiarity with FX products such as spot, forwards, options or derivatives.
• Nice to have: understanding of real-time risk calculation systems or market data platforms.
• Nice to have: exposure to low-latency, high-throughput distributed systems.

Conditions

Hybrid working, with up to 2 days a week working from home, in a business casual workplace.

Full-time role.

Other job-related duties may be assigned as required.

The company is an equal opportunity employer and welcomes applicants from all backgrounds.

Benefits

• Competitive base salary, reviewed annually.
• Discretionary annual performance-related bonus.
• 27 days annual leave plus bank holidays.
• Private medical care and life insurance.
• Employee assistance program.
• Pension plan.
• Paid parental leave.
• Discounts for employees, family and friends.
• Access to learning and development resources, structured learning paths and mentorship.
• Exposure to cloud adoption work, deploying the company APIs on AWS and Azure.