What’s the role?

We are hiring for an experienced and analytical Intelligence Analyst to join our client, in tackling financial crime.

This role involves identifying and analysing emerging ML/TF typologies, customer behaviours, and transaction trends, and translating these insights into system improvements, escalation triggers, and training initiatives. The role will be responsible for providing intelligence-driven insights to enhance risk mitigation strategies and ensure compliance with regulatory obligations.

This is an exciting permanent opportunity to work in a fast-paced environment, providing vital insights to mitigate risks associated with financial crime.

Responsibilities: 

• Analyse suspicious activities related to financial crime, such as money laundering, fraud, terrorist financing, and corruption.
• Conduct in-depth analysis of transactional data, customer profiles, and financial patterns to detect anomalies and identify risks.
• Gather and analyse external and internal intelligence, including public data, regulatory updates, and industry trends, to assess and mitigate emerging financial crime threats.
• Work closely with cross-functional teams, including compliance, legal, and operations, to investigate potential financial crimes and assist in regulatory reporting.
• Provide actionable insights to improve financial crime detection processes, including recommending process improvements, systems upgrades, and enhanced monitoring procedures.
• Assist in ensuring compliance with regulatory frameworks such as FATF, AML regulations, KYC, and sanctions compliance, ensuring the organization remains in line with evolving regulations.

Skills & Experience required:

• A bachelor’s degree in Finance, Business, Criminal Justice, Cybersecurity, or a related field would be desirable.
• At least 3-5 years of experience in financial crime analysis, intelligence gathering, risk management, or a similar role within financial services or law enforcement.
• Strong understanding of financial crime regulations, including AML (Anti-Money Laundering), KYC (Know Your Customer), and relevant legal frameworks.
• Excellent ability to analyse complex data and draw meaningful insights to detect suspicious activities and potential fraud patterns.
• Strong written and verbal communication skills
• High attention to detail and the ability to identify patterns and trends in large datasets.