Lead Software Engineer - Python/Java, AI/ML - Equity Derivatives

b Overview /b p In this role you will design and deliver secure, scalable technology for Equity Derivatives within Markets Technology. You’ll collaborate with cross-functional teams to shape architecture, drive end-to-end delivery, and improve production reliability. You help ensure high-quality code, monitoring, and incident response while leveraging AI tools to boost productivity. This is a hands-on leadership position that impacts clients and the bank’s trading workflows. /p b Responsibilities /b ul li Own production outcomes for critical Equity Derivatives workflows, including monitoring, incident triage, stakeholder communication, mitigation, and root cause follow-through /li li Execute software solutions through design, development, testing, release, and technical troubleshooting /li li Create secure, high-quality production code and maintain services and integrations with critical systems /li li Produce architecture and design artifacts for complex applications, ensuring alignment with design constraints and operational requirements /li li Collaborate with front office, operations, and technology teams to gather requirements, define acceptance criteria, and align on product specifications /li li Drive UAT planning and execution for changes impacting pricing, booking, and risk, including test strategy, defect triage, evidence collection, and sign-offs /li li Maintain strong release discipline, including regression assessment, rollback/fallback planning, post-deployment verification, and observability improvements /li li Gather and synthesize data/telemetry to develop reporting and metrics that improve stability, quality, and delivery predictability /li li Identify hidden failure patterns in production and drive improvements in coding hygiene, system architecture, and operational readiness /li li Provide ongoing support and enablement to stakeholders on new product features and workflows, including runbooks, training, and documentation /li li Leverage firm-approved AI tools to improve productivity in testing, documentation, and incident/ticket triage, while adhering to data governance and control requirements /li /ul b Key requirements /b ul li Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience /li li Strong software engineering fundamentals with hands-on experience across the SDLC, including system design, development, testing, release, and production support /li li Proficiency in Python, Java, and JavaScript/TypeScript /li li Experience building and supporting production-grade systems /li li Experience in large-scale enterprise environments, developing, debugging, and maintaining code and data integrations using modern programming and database querying languages /li li Familiarity with engineering frameworks and tooling such as JUnit, Maven, Spring Boot, Spring Data JPA, Spring Batch, and Hibernate /li li Strong analytical thinking, structured problem solving, and debugging skills /li li Excellent communication and stakeholder management skills /li li Experience delivering in an Agile environment, managing multiple priorities/projects, and producing clear documentation /li li Operational excellence mindset, including incident leadership, postmortems, and continuous improvement in observability and production reliability /li li Knowledge of equity derivatives products and workflows, including options pricing concepts and understanding of how system issues can impact quoting, booking, and hedging /li /ul ul li communication /li li stakeholder management /li li problem solving /li li Python /li li Java /li li JavaScript/TypeScript /li /ul