Data Lead (Financial Crime)

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 .

If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website