The posting
The TP ICAP Group is a world leading provider of market infrastructure.
Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.
Through our people and technology, we connect clients to superior liquidity and data solutions.
The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world’s leading provider of OTC data, and an award-winning all-to-all trading platform.
The Group operates from more than 60 offices in 27 countries. We are 5,300 people strong. We work as one to achieve our vision of being the world’s most trusted, innovative, liquidity and data solutions specialist.
Role Overview
The APAC AI Lead Engineer – Global Broking is a business-aligned technology leadership role responsible for identifying, designing and delivering AI-enabled productivity improvements for Global Broking desks across APAC. The role will work directly with brokers, desk heads and business managers to automate workflows, reduce manual effort, improve information discovery and support faster decision-making through practical AI solutions.
The role will operate under a dual reporting model, with primary accountability to APAC Global Broking leadership for business priorities and outcomes, and a secondary reporting line to the Global AI Lab / Technology leadership to ensure alignment with TP ICAP architecture, security, risk, production and AI governance standards.
Role Responsibilities Desk-Level Productivity & Business Engagement
- Partner with APAC brokers, desk heads and business managers to identify high-value productivity, automation and workflow improvement opportunities.
- Develop a deep understanding of front-office workflows, desk-specific pain points, information flows and repetitive manual processes.
- Translate business requirements into practical AI, automation and workflow solutions that can be tested, governed and scaled.
- Maintain a prioritised APAC AI opportunity pipeline, including expected benefits, delivery status, dependencies and business ownership.
AI Solution Design & Development
- Design, prototype and deliver AI-enabled tools, agents, applications and workflow automations using approved TP ICAP platforms and development standards.
- Develop solutions across areas such as broker preparation, market colour aggregation, document automation, research support, data extraction, workflow orchestration and cross-system information retrieval.
- Use approved enterprise platforms and tools, including AWS Quick, AWS Kiro, Microsoft 365 / Copilot ecosystem, internal AI platforms and other approved development environments.
- Apply appropriate engineering discipline, including architecture, code management, documentation, testing, operational support, production-readiness controls & risk management.
Delivery, Adoption & Benefits Realisation
- Lead the delivery of APAC AI use cases from discovery and prototyping through to production deployment and desk adoption.
- Define clear business outcomes, benefits measures and adoption plans for each use case.
- Work with desk sponsors to ensure solutions are embedded into day-to-day workflows and deliver measurable productivity improvement.
- Support APAC AI enablement sessions, pilots, workshops, hackathons and user engagement activities.
Governance, Risk & Technology Alignment
- Ensure all AI solutions are developed in line with TP ICAP technology, architecture, security, data, risk and compliance requirements.
- Maintain full visibility of APAC AI solutions for Technology, Architecture, Security, Risk and Compliance stakeholders.
- Support required AI risk assessments, solution documentation, architectural reviews, production approval and support arrangements.
- Escalate risks, dependencies and blockers promptly through both the business and technology reporting lines.
Stakeholder Management
- Act as the primary APAC Global Broking AI engineering lead and point of coordination between business desks, AI Lab, Technology and support functions.
- Build strong working relationships with regional and global stakeholders across Global Broking, Technology, Operations, Risk, Compliance, Finance and HR.
- Represent APAC Global Broking in relevant global AI forums, pilots and communities of practice.
- Share reusable patterns, lessons learned and successful use cases across APAC and global teams.
Skills & Experience
- Proven experience in software engineering, AI engineering, automation, data engineering or technology delivery within financial services or another regulated environment.
- Strong practical experience designing and delivering solutions using large language models, AI agents, workflow automation, RAG / knowledge retrieval and API-based integrations.
- Demonstrated ability to work directly with front-office or business users, translating commercial requirements into pragmatic technology solutions.
- Strong understanding of technology governance, architecture review, security-by-design, testing, production deployment and operational support requirements.
- Experience with Python, APIs, cloud platforms, source control, CI/CD and structured documentation.
- Experience with AWS Bedrock, AWS Quick, Microsoft Copilot / M365 integration, Power Platform, Teams, SharePoint, data extraction tools or workflow automation platforms would be advantageous.
- Knowledge of interdealer broking, capital markets, wholesale financial markets or front-office operating models would be advantageous.
- Excellent written and verbal communication skills, with the ability to engage senior business stakeholders and technical teams.
Behavioural Competencies
- Commercially focused and delivery-oriented, with strong ownership of outcomes.
- Curious, innovative and practical, with the ability to turn ideas into usable solutions quickly and safely.
- Collaborative and credible with brokers, desk heads, engineers and control functions.
- High integrity, professionalism and sound judgement in a regulated environment.
- Able to balance speed of innovation with appropriate governance, risk management and production discipline.
- Proactive, resilient and solution-oriented, with a continuous improvement mindset.
- Works ethically and shows respect for professional and company values.
Success Measures
- Establish a prioritized APAC AI use-case pipeline with clear business sponsors and delivery governance.
- Deliver initial desk-level productivity use cases with measurable benefits and adoption evidence.
- Support regional AWS Quick / AI enablement activity and convert pilot outputs into scalable delivery opportunities.
- Create reusable Regional & Global delivery patterns, documentation and controls to support broader rollout.
- Maintain strong technology, architecture, risk and compliance alignment throughout the delivery lifecycle.
Typical backgrounds might include Tech Lead, Engineering Lead, Forward Deployed Engineer, Squad Lead, fintech engineering leader, or consultancy delivery lead.
Band & level: Manager, 7
