Forward Deployed Engineering Lead – Global Broking, APAC

ICAP; Santo Niño 1st; On-site; PHP 11,811,000 - 20,669,000; Full time

Job summary

TP ICAP in Singapore is seeking an APAC AI Lead Engineer – Global Broking to drive AI-enabled productivity for Global Broking desks across APAC. You will partner with brokers, desk heads and business managers to identify high-value opportunities and deliver practical AI solutions that automate workflows and accelerate decision-making.

This role reports to APAC Global Broking leadership with a secondary line to the Global AI Lab, ensuring alignment with architecture, security, risk and governance

Qualifications

• 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 would be advantageous.
• Excellent written and verbal communication skills, with the ability to engage senior business stakeholders and technical teams.

Responsibilities

• 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.
• Design, prototype and deliver AI-enabled tools, agents, applications and workflow automations using approved TP ICAP platforms and development standards.
• Develop solutions across: broker preparation, market colour aggregation, document automation, research support, data extraction, workflow orchestration and cross-system information retrieval.
• Apply engineering discipline: architecture, code management, documentation, testing, operational support, production-readiness controls & risk management.
• Lead the delivery of APAC AI use cases from discovery to production deployment and desk adoption.

Skills

Software engineering

AI engineering

Automation

Data engineering

Technology delivery

LLM design

AI agents

Workflow automation

RAG knowledge retrieval

API integrations

Stakeholder engagement

Governance & security

Python

APIs

Cloud platforms

CI/CD

Documentation

AWS Bedrock

AWS Quick

Power Platform

Team collaboration (Teams/SharePoint)

Capital markets knowledge

Communication

Education

N/A

Tools

AWS Bedrock

AWS Quick

Microsoft Copilot / M365

Power Platform

Teams

SharePoint

Data extraction tools

Workflow automation platforms

Job description

Group Overview

The TP ICAP Group is aworld leadingprovider 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 Groupoperatesfrom 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 foridentifying,designingand 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 informationdiscoveryand 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, deskheadsand business managers toidentifyhigh-value productivity,automationand workflow improvement opportunities.

• Develop a deep understanding of front-office workflows, desk-specific pain points, informationflowsand repetitive manual processes.

• Translate business requirements into practical AI,automationand workflow solutions that can be tested,governedand scaled.

• Maintain aprioritisedAPAC AI opportunity pipeline, including expected benefits, delivery status,dependenciesand 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, marketcolouraggregation, document automation, research support, data extraction, workfloworchestrationand cross-system information retrieval.

• Use approved enterprise platforms and tools, including AWS Quick, AWS Kiro, Microsoft 365 / Copilot ecosystem, internal AIplatformsand other approved development environments.

• Applyappropriate engineeringdiscipline, including architecture, code management, documentation, testing, operationalsupport, production-readiness controls & risk management.

Delivery, Adoption & BenefitsRealisation

• Lead the delivery of APAC AI use cases from discovery and prototyping through to production deployment and desk adoption.

• Define clear business outcomes, benefitsmeasuresand 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,hackathonsand user engagement activities.

Governance, Risk & Technology Alignment

• Ensure all AI solutions are developed in line with TP ICAP technology, architecture, security, data,riskand 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, productionapprovaland support arrangements.

• Escalate risks,dependenciesand 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,Technologyand 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,pilotsand 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 / knowledgeretrievaland 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, productiondeploymentand operational support requirements.

• Experience with Python, APIs, cloud platforms, source control, CI/CDand structured documentation.

• Experience with AWS Bedrock, AWS Quick, Microsoft Copilot / M365 integration, Power Platform, Teams, SharePoint, data extractiontoolsor workflow automation platforms would beadvantageous.

• Knowledge of interdealer broking, capital markets, wholesale financialmarketsor front-office operating models would beadvantageous.

• Excellent written and verbal communication skills, with the ability to engage senior business stakeholders and technical teams.

BehaviouralCompetencies

• Commercially focused and delivery-oriented, with strong ownership of outcomes.

• Curious,innovativeand practical, with the ability to turn ideas into usable solutions quickly and safely.

• Collaborative and credible with brokers, desk heads,engineersand control functions.

• High integrity,professionalismand sound judgement in a regulated environment.

• Able to balance speed of innovation withappropriate governance, riskmanagementand production discipline.

• Proactive,resilientand solution-oriented, with a continuous improvement mindset.

• Works ethically and shows respect for professional and company values.

Success Measures

• Establish aprioritizedAPAC 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,documentationand controls to support broader rollout.

• Maintain strong technology, architecture,riskand 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

#LI-Hybrid #LI-MID

Company Statement

We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement.

Location

Singapore - 50 Raffles Place - Singapore