Data Lead (Financial Crime)

Experis - ManpowerGroup; Greater London; Hybrid; GBP 108,000 - 132,000; Full time

Job summary

Experis - ManpowerGroup is seeking a Financial Crime Data Lead in a hybrid Central London role. This strategic position leads the design and build of an enterprise-wide financial crime data platform supporting KYC, AML, monitoring and risk workflows.

You will steer data engineering, architecture, governance and AI-enabled data products across onboarding, screening and reporting systems, partnering with Compliance and Tech to deliver scalable data solutions.

Qualifications

• Strong SQL and Python experience relevant to financial crime data platforms.
• Commercial Snowflake experience or equivalent modern cloud data platform.
• Leadership background in Data Engineering, Data Architecture or Data Product roles.
• Experience building data pipelines and complex integrations.

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 cloud technologies.
• Develop trusted datasets for KYC, AML, transaction monitoring and risk processes.
• Implement data quality, lineage, governance and reconciliation controls.
• Create MI and reporting solutions for alerts, investigations and risk trends.
• Support AI and automation initiatives with data products.
• Collaborate with Compliance, Risk, Operations and Tech to define data needs.

Skills

SQL

Python

Snowflake

Data Engineering

Data Architecture

APIs

CI/CD

Git

Stakeholder engagement

Tools

dbt

Airflow

Azure Data Factory

Dagster

Job description

Financial Crime Data Lead

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:

• 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

Why Apply?

• Opportunity to help build a greenfield Financial Crime platform
• Significant influence over architecture, tooling and delivery approach
• High-profile programme with direct regulatory impact
• Strong executive sponsorship and visibility
• Opportunity to combine Data, Financial Crime and AI on a strategic transformation programme
• Join a growing data and technology function within a leading organisation

If you’d like to learn more, please contact Jacob Ferdinand at .