VP, Full Stack Engineering Lead (FX/FXD), Wealth Management Technology, Group Technology

ABOUT THE ROLE

As the VP, Full Stack Engineering Lead for FX & FXD Products and Execution, you will drive the technical vision, architectural strategy, and delivery execution for a next-generation Foreign Exchange and Foreign Exchange Derivatives engineering ecosystem. This mission-critical mandate will align FX product lines and build connected employee and client journeys through robust capabilities, shared platform services, and high-performance execution workflows across Spot, Forwards, Swaps, Options, and Structured FX products.

We are looking for a strategic, hands-on engineering leader who combines deep FX and FXD domain knowledge with expertise in scalable, cloud-native, high-throughput full-stack platforms. You will evolve the FX execution platform by identifying shared architectural patterns and translating complex multi-currency transactional and analytical requirements into a resilient, real-time distributed ecosystem.

WHAT YOU’LL DO

• Architectural Leadership & Evolution: Drive the technical vision and evolution of the FX/FXD execution ecosystem into a cloud-native, microservices-based architecture of shared capabilities on modern container platforms such as OpenShift or Kubernetes.
• FX Product Alignment: Identify architectural commonalities across Spot FX, Outrights, FX Swaps, FX Options, and Structured FX products, designing reusable services that address shared execution, pricing, and platform needs.
• Hands-on Technical Execution: Lead, mentor, and guide engineering squads while driving common engineering standards, reusable code patterns, and unified design reviews across FX product lines.
• High-Throughput Streaming & Messaging: Design and optimize low-latency FX transaction flows, real-time market data distribution, and event-driven architectures using WebSockets and modern messaging platforms such as AMQ or Kafka.
• Full-Stack Platform Delivery: Champion resilient server-side architectures using Java, Spring Boot, and Python, alongside interactive ReactJS frontends that support real-time operational workflows, FX risk views, and trade lifecycle flows.
• Market Data & Analytics Integration: Orchestrate real-time FX market data ingestion from sources such as Bloomberg, Reuters, and EBS/EBS Direct, and integrate pricing models, spot/forward curve builders, and analytics engines into the FX transaction lifecycle.
• Ecosystem Innovation: Evaluate and deploy emerging technologies—including AI coding assistants, NLP applications, and LLM integrations—to improve developer productivity and modernize the FX engineering ecosystem.
• Stakeholder Partnership: Serve as a key technical advisor to product owners, business heads, and senior leadership across FX/FXD desks, translating business needs into cohesive technical roadmaps and execution plans.

WHAT WE’RE LOOKING FOR

• Proven Track Record: 9+ years of experience in enterprise financial environments such as Tier 1 investment banks or institutional FinTechs, with proven success leading Agile engineering squads focused on FX/FXD platforms.
• Full-Stack Technical Mastery: Expert-level, hands-on engineering capability across Java (Spring Boot), ReactJS, and Python.
• Cloud-Native & Container Depth: Practical experience architecting and migrating platforms to modern container orchestrators (such as Kubernetes or OpenShift), with strong CI/CD automation expertise.
• Shared Services Mindset: Demonstrated ability to identify overlapping business and technical requirements across FX product desks and consolidate them into robust, reusable services.
• High-Availability Systems Design: Proven success designing and delivering high-performance, low-latency FX platforms such as electronic pricing engines, algorithmic execution hubs, real-time risk platforms, or equivalent high-throughput streaming systems for foreign exchange.
• Deep FX/FXD Domain Knowledge: Strong expertise across Spot FX, FX Forwards and Swaps, Vanilla and Exotic FX Options, and Structured FX products, with a clear understanding of trade lifecycles, STP, and electronic distribution.
• Resilient Engineering Practices: Strong commitment to software craftsmanship, including TDD, automation, memory profiling, performance stress testing, and clean-code architectural patterns.
• Innovation-Driven: Active experience or strong interest in leveraging AI assistant coding tools and LLMs to optimize team delivery and software engineering lifecycles.
• Academic & Professional Credentials: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline. Agile or cloud certifications such as PMI-ACP or CKAD are preferred.

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