Overview
As Senior Director of Engineering in the CIB Markets Technology team, you will lead desk-supporting trading technology and front-office workflows, shaping the technology roadmap and ensuring production readiness. You’ll mentor a high-performing team, collaborate with Traders, Quants/Strats, and functional leads, and drive end-to-end delivery across the trade lifecycle. Your leadership will enable faster, safer, and more observable production systems that empower traders and drive innovation. This is a strategic role at scale in a global financial services firm.
Responsibilities
- Own the technology strategy for desk workflow and tooling, translating business priorities into roadmaps
- Partner with Traders, Desk Heads, Quants/Strats, and Operations to identify pain points and deliver value
- Represent the desk technology organization in senior forums and secure commitments
- Oversee end-to-end delivery across the SDLC with productive front-office responsiveness
- Establish delivery rhythms and promote a production-first culture with observability and incident controls
- Lead design and delivery of integrated workflows across the trade lifecycle
- Coordinate cross-team delivery for aligned releases and change management
- Set and enforce engineering standards for architecture, secure coding, testing, CI/CD, and incident response
- Lead multi-department strategy for AI-enabled engineering and SDLC/TLM automation to meet firmwide objectives
- Apply SDLC tooling knowledge to drive cross-domain reuse and measurable capacity unlocks
- Sponsor and resolve complex production incidents and systemic issues
Key requirements
- Deep expertise in software engineering, system design, testing strategy, operability, secure engineering, and performance
- Experience in Commodities Front Office Technology supporting Exotics/Commodities desks
- Significant experience leading engineering teams and delivering end-to-end stack systems in production at scale
- Proven success partnering with Front Office/Trading stakeholders in high-urgency environments
- Strong technical depth in Python (preferred) or ability to lead in a Python-based stack
- Experience leading multi-organization adoption of AI-enabled engineering operating models with governance and measurement frameworks
- Understanding of responsible AI risk, controls, and resiliency/security at scale
- Proven ability to drive outcomes through multi-team dependencies and influence without authority
- leadership and people management
- cross-functional collaboration
- stakeholder management
- Python (preferred)
- front-office UI/tooling (React/TypeScript)
- observability and performance engineering
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