Data Lead (Financial Crime)

Experis UK; Greater London; On-site; GBP 72,000 - 120,000; Full time

Job summary

Experis UK is seeking a Financial Crime Data Lead to design and build a new enterprise-wide Financial Crime data platform underpinning transaction monitoring, client screening, onboarding, risk assessment and AI-driven decision making.

The role sits at the intersection of governance and AI enablement, creating a trusted data layer that unifies multiple systems for reporting, controls, workflow automation and analytics.

Qualifications

• Experience delivering FinCrime data platforms and canonical data models.
• Ability to integrate data from onboarding, CRM, screening, monitoring and compliance systems.
• Experience building scalable data pipelines using cloud technologies.

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.

Skills

Data modeling

Data integration

Cloud platforms

Analytics

Governance

AI enablement

Job description

Hybrid: Central London 2 days a week in the office

Permanent

Paying up to £120k + Bonus

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

This is a highly visible role sitting at the intersection of:

• 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