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