A forward-looking fintech organisation in Estonia is seeking a Fintech Financial Crime Intelligence Lead to strengthen the analytical capabilities used to identify, investigate, and prevent sophisticated financial crime.

This is a data-led role focused on turning complex transactional and behavioural information into actionable intelligence. You will work across analytics, operations, compliance, product, and technology teams to improve how financial crime risks are detected and investigated.

Key Responsibilities

• Lead analytical programmes focused on financial crime detection and intelligence.
• Develop analytical frameworks for identifying unusual transactional and behavioural patterns.
• Investigate emerging typologies and translate findings into improved detection strategies.
• Work with data teams to improve the quality, accessibility, and structure of financial crime datasets.
• Develop intelligence reports and analytical dashboards for operational and senior stakeholders.
• Analyse false-positive patterns and recommend improvements to detection processes.
• Collaborate with technology teams to enhance automated monitoring and investigative tooling.
• Support investigations involving complex transaction networks and unusual customer activity.
• Monitor changes in financial crime patterns and assess their operational implications.
• Establish analytical methodologies, documentation standards, and quality controls.
• Mentor analysts and promote consistent evidence-based investigation practices.
• Contribute to strategic initiatives involving automation, advanced analytics, and machine learning.

Candidate Profile

• 7+ years of experience in financial crime analytics, fraud intelligence, AML, risk analytics, banking, or fintech.
• Strong analytical and investigative capabilities.
• Advanced SQL and experience with Python, R, or comparable analytical tools.
• Experience analysing transactional, behavioural, or customer data at scale.
• Understanding of financial crime typologies and investigative methodologies.
• Strong ability to communicate complex analytical findings clearly.
• Experience working with multidisciplinary technology and compliance teams.

Intelligence Environment

Large-scale transaction data, behavioural analytics, investigative platforms, automated monitoring, data visualisation, statistical analysis, and machine-learning-supported detection systems.

Why This Opportunity

You will help develop the intelligence capabilities required to understand increasingly complex financial crime patterns within digital financial services.

Ideal Candidate: An analytical professional who combines investigative thinking with strong data skills and can turn complex evidence into practical operational intelligence.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!

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