Data Lead (Financial Crime)

Financial Crime Data Lead

Hybrid: Central London 2 days a week in the office

Permanent

Salary £100,000 - £120,000 pa

Paying up to £120k + Bonus

Posted 1 Sep 2026 (Last week)

We are currently working with a leading organisation undergoing a major transformation of its Financial Crime, Risk and Compliance technology landscape.

As part of this journey, they are looking to hire a Financial Crime Data Lead to play a central role in designing and building a new enterprise-wide Financial Crime data platform that will underpin key capabilities including transaction monitoring, client screening, onboarding, risk assessment and future AI-driven decision making.

The Role

• Data Engineering
• Financial Crime
• Data Architecture
• Governance
• AI Enablement

You’ll be responsible for creating a trusted Financial Crime data layer that brings together multiple systems and data sources into a single foundation supporting reporting, controls, workflow automation and analytics.

Key Responsibilities

• Design and deliver the Financial Crime data platform and canonical data model
• Integrate data from onboarding, CRM, screening, monitoring and compliance systems
• Build and maintain scalable data pipelines using modern cloud technologies
• Develop trusted datasets supporting KYC, AML, transaction monitoring and risk processes
• Implement data quality, lineage, governance and reconciliation controls
• Create MI and reporting solutions that provide visibility of alerts, investigations, risk trends and operational performance
• Support future AI and automation initiatives through AI-ready data products
• Partner with Compliance, Risk, Operations and Technology teams to define and deliver data requirements
• Establish data engineering standards, documentation and governance frameworks

Key Skills & Experience

• Strong SQL and Python experience
• Commercial Snowflake experience (or equivalent modern cloud data platform)
• Data Engineering, Data Architecture or Data Product leadership background
• Experience building complex integrations, APIs and data pipelines

Financial Crime Experience Including Areas Such As

• KYC
• AML
• Transaction Monitoring
• Screening
• Risk Ratings
• Compliance Case Management
• Strong data governance, lineage and data quality experience
• Experience with dbt, Airflow, Azure Data Factory, Dagster or similar tooling
• CI/CD, Git and modern engineering practices
• Strong stakeholder engagement and communication skills

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