Financial Crime Threat & Intelligence Analyst

As a Financial Crime Threat Intelligence & MI Analyst, you will play a pivotal role in protecting YBS from financial crime threats. You will use intelligence, data analysis, and investigative techniques to identify, assess, and mitigate risks related to fraud, money laundering, and other financial crimes. You will play a key role in maturing the financial crime intelligence function, embedding intelligence-led decision-making across the business. Your work will directly support the Society’s commitment to maintaining robust compliance and safeguarding its members.

Key Responsibilities:

• Stay ahead of the financial crime landscape by monitoring emerging risks, typologies, and regulatory changes using both external intelligence and internal data.
• Lead risk assessments to prioritise threats and ensure alignment with the organisation’s financial crime strategy.
• Use analytical tools (Excel, SQL, SAS) to uncover anomalies, detect suspicious patterns, and proactively identify threats.
• Deliver clear, actionable intelligence reports that inform senior leaders and operational teams, supporting compliance and strong governance.
• Build strong partnerships across internal teams and with regulators, law enforcement, and industry bodies to enhance the organisation’s financial crime response.
• Represent the organisation in industry forums and intelligence-sharing networks, promoting best practice and staying ahead of evolving threats.

About You

Essential:

• Proven background in financial crime intelligence and risk management.
• Strong understanding of financial crime regulations and industry standards (e.g., FCA, FATF, etc).
• Excellent written and verbal communication skills, with the ability to present complex findings clearly.
• Proactive mindset with a problemsolving approach to financial crime challenges.
• Selfstarter who can engage effectively with stakeholders at all levels.
• Collaborative team player, able to build strong relationships across departments and with external partners.

Desirable

• Advanced analytical skills with proficiency in tools such as Excel, SQL, SAS, Power BI, Python, or similar.
• Experience developing or applying financial crime risk models.
• Understanding of financial services or building society operations.