Director, Financial Crime Prevention Data, Analytics & AI

With 5400+ employees and over 300,000 commercial, institutional, payments, and retail clients, we operate from more than 70 offices spread across six continents. As a Fortune 100, Nasdaq-listed provider, we connect clients to the global markets – focusing on innovation, human connection, and providing world-class products and services to all types of investors.

Whether you want to forge a career connecting our retail clients to potential trading opportunities, or ingrain yourself in the world of institutional investing, StoneX Group is made up of four business segments that offer endless potential for progression and growth.

StoneX is seeking a Director, Financial Crime Prevention Data, Analytics & AI to provide the technical capability needed to implement the Chief MLRO’s vision for a more data-driven FCP function. The role will in turn defined FCP ideas, priorities and use cases into live dashboards, integrated datasets, data-driven risk assessments and working AI-enabled solutions.

Working closely with the Chief MLRO and FCP Functional Heads, the Director will act as the senior technical practitioner responsible for solution design and implementation. They will apply advanced data engineering, analytics, coding and visualisation capability to personally build the dashboards, analytical tools, integrations and AI-enabled solutions required by FCP, replacing manual and spreadsheet-based approaches with reliable, scalable and auditable capabilities.

This is a senior, hands-on individual-contributor role for an accomplished technical practitioner and builder, not a programme or project-management role. The Director must be able to move independently from data discovery and coding through prototyping, deployment, adoption and continuous improvement.

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• Translate FCP methodologies, controls and user needs into scalable, explainable and auditable digital products, functional designs, data requirements and decision logic.
• Build prototypes, proofs of concept and production-ready solutions, writing code and working directly with data rather than limiting the role to requirements definition or delivery oversight.
• Provide FCP design authority, challenge weak designs and measure whether delivered solutions improve risk management, controls, quality or operational performance.

• Establish a coherent approach to FCP data and analytics across customer, transaction, screening, monitoring, control and operational data.
• Connect, reconcile and transform data from multiple source systems into trusted, reusable datasets and data models, with clear lineage, quality controls and ownership.
• Design, build, and maintain live, interactive FCP dashboards that provide timely views of risk exposure, control performance, operational outcomes and emerging trends, with transparent underlying data and drivers.
• Develop data-driven risk assessments, indicators and analytical methods that combine relevant internal data to identify risk concentrations, emerging patterns, control weaknesses and inefficiencies.
• Identify material data gaps and limitations, define technical requirements and work with data owners to resolve them.

• Translate the Chief MLRO’s AI vision, ideas and prioritised use cases into a practical technical delivery roadmap, architecture and implementation plan.
• Provide constructive technical challenge on feasibility, data, design, security, controls and scalability, while remaining accountable for converting agreed priorities into working solutions.
• Personally create, code and iterate AI-enabled tools, agents, automations and proofs of concept, using Claude Code and other appropriate development tools.
• Deploy and embed successful AI capabilities into FCP processes to improve risk identification, analysis, workflow, quality assurance and reporting while preserving accountable human judgement.
• Ensure AI-enabled capabilities have clear intended uses, controls, testing, documentation, monitoring and success measures.

• Act as FCP’s senior specialist for data, analytics, digital products and AI, advising the Chief MLRO and FCP leadership.
• Build effective cross-functional relationships and influence priorities and delivery without direct authority.
• Communicate complex technical and analytical matters clearly to senior, operational and technical audiences.

• Significant experience in Financial Crime, transformation, internal consulting, operating model design or execution roles within financial services.
• Strong understanding of Financial Crime risks including AML/CTF, sanctions and fraud.
• Strong understanding of Financial Crime operations including due diligence, customer, name and payment screening, transaction monitoring and fraud detection.
• Proven ability to design practical frameworks, policies, procedures, methodologies, control standards, operating model materials or technology-enabled solutions.
• Strong consulting, problem-solving and execution capability, including the ability to structure ambiguous issues, challenge assumptions and deliver high-quality work directly.
• Experience working directly with senior executives, regulators, auditors, technology, operations, risk, compliance and business stakeholders.
• Experience in wholesale, institutional, corporate, brokerage, trading or payments environments.

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