Financial Crime Data & MI Leader

Yorkshire Building Society; Bradford; On-site; GBP 90,000 - 125,000; Full time

Benefits offered by this job

Holiday

Bonus

Pension

Healthcare

My Benefits

Job summary

Yorkshire Building Society seeks an experienced Financial Crime Solutions, Data and MI Manager to lead the FC systems and risk analytics within a growing FC team.

You will own the design, delivery and implementation of strong oversight, quality control testing, and proactive FC risk insights, with a focus on AML/KYC and regulatory alignment.

The role offers collaboration with stakeholders across the FC function and opportunities to advance the FC journey through advanced data mining and analytics.

Qualifications

• Proven leadership and stakeholder management to support FC initiatives.
• Proven ability to deliver high‑level FC product overviews, analytics and MI.
• Subject matter expertise in AML, KYC, sanctions and fraud within retail banking.
• Strong product management experience in a financial services environment.

Responsibilities

• Design, deliver and implement robust oversight testing across FC systems.
• Develop cohesive solutions adaptable to changing requirements and risks.
• Lead quarterly and annual reviews of the Systems Oversight Activity Plan.
• Provide regular analysis and MI to improve FC risk management and controls.

Skills

Leadership

Stakeholder management

Collaboration

Product management

Analytics & MI

Financial crime risk expertise

Tools

Actimise

SAS

SQL

Business Objects

Power Console

Tableau

Job description

Yorkshire Building Society seeks an experienced Financial Crime Solutions, Data and MI Manager to lead the FC systems and risk analytics within a growing FC team.

You will own the design, delivery and implementation of strong oversight, quality control testing, and proactive FC risk insights, with a focus on AML/KYC and regulatory alignment.

The role offers collaboration with stakeholders across the FC function and opportunities to advance the FC journey through advanced data mining and analytics.