About this role
ABOUT THE ROLE
As the VP, Full Stack Engineering Lead for Equity Products and Execution, you will drive the technical vision, architectural strategy, and delivery execution for a next-generation Cash Equity and Equity Derivatives engineering ecosystem. This mission-critical mandate will align equity product lines and build connected employee and client journeys through robust capabilities, shared platform services, and high-performance execution workflows across Cash Equities, Equity Swaps, Listed Options, Delta-One, and Structured Equity products.
We are looking for a strategic, hands-on engineering leader who combines deep equity domain knowledge with expertise in scalable, cloud-native, high-throughput full-stack platforms. You will evolve the equity execution platform by identifying shared architectural patterns and translating complex multi-asset 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 equity execution ecosystem into a cloud-native, microservices-based architecture of shared capabilities on modern container platforms such as OpenShift or Kubernetes.
- Equity Product Alignment: Identify architectural commonalities across Cash Equities, Equity Swaps, Listed Derivatives, and Structured Equity 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 equity product lines.
- High-Throughput Streaming & Messaging: Design and optimize low-latency equity 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, equity risk views, and trade lifecycle flows.
- Market Data & Analytics Integration: Orchestrate real-time equity market data ingestion from sources such as Bloomberg, Reuters, and exchange feeds, and integrate pricing models, volatility surfaces, and analytics engines into the equity 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 equity engineering ecosystem.
- Stakeholder Partnership: Serve as a key technical advisor to product owners, business heads, and senior leadership across equity 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 equity trading 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 equity product desks and consolidate them into robust, reusable services.
- High-Availability Systems Design: Proven success designing and delivering high-performance, low-latency equity platforms such as electronic order management systems (OMS/EMS), algorithmic execution hubs, real-time risk platforms, or equivalent high-throughput streaming systems for equities.
- Deep Equity Domain Knowledge: Strong expertise across Cash Equities, Equity Swaps, Delta-One, and Listed/Exotic Equity Derivatives, 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.
Location:
DBS Asia Central
Job:
Technology
Schedule:
Regular
Employee Status:
Full time