Company Overview

The organisation operates in the fintech industry, providing technology-driven financial services supported by data analytics, transaction monitoring and risk management capabilities. Its operating environment places importance on financial transparency, responsible customer onboarding and the identification of suspicious transaction patterns.

The business uses analytical tools and structured data processes to support financial crime prevention, improve monitoring effectiveness and strengthen the reliability of its financial operations.

Role Summary

The Fintech Financial Crime Data Analyst will analyse financial transaction data, customer activity and operational indicators to identify unusual patterns, potential financial crime risks and weaknesses in existing monitoring processes.

The position combines data analysis, financial services knowledge and investigative thinking. The successful candidate will work alongside compliance specialists, fraud analysts, risk professionals and technology teams to transform complex datasets into meaningful findings that support informed decision-making.

The role will also contribute to improving analytical methods, monitoring indicators and reporting processes used to assess suspicious activity across digital financial services.

Key Responsibilities

• Analyse transaction records, customer activity and financial behaviour to identify unusual or potentially suspicious patterns.

• Examine payment flows, account movements and transaction relationships to identify indicators of financial crime.

• Prepare analytical reports highlighting emerging risks, unusual activity and relevant investigation findings.

• Support the development and refinement of transaction monitoring indicators and analytical scenarios.

• Review data quality and identify inconsistencies that may affect monitoring accuracy or investigative outcomes.

• Use SQL and analytical tools to extract, organise and interpret financial datasets.

• Collaborate with AML, fraud prevention and compliance teams during the review of complex cases.

• Identify recurring patterns associated with account misuse, suspicious transfers and potentially fraudulent activity.

• Assist in evaluating the effectiveness of existing monitoring rules and analytical models.

• Develop dashboards and management reports to communicate trends, performance indicators and emerging risk areas.

• Maintain clear records of analytical findings and ensure that supporting documentation is accurate.

• Recommend improvements to data collection, monitoring procedures and financial crime reporting.

• Support periodic reviews of risk indicators and contribute to continuous improvement initiatives.

Requirements and Qualifications

• Bachelor’s degree in Data Analytics, Finance, Economics, Statistics, Mathematics, Information Systems or a related field.

• Professional experience in financial crime analysis, AML analytics, fraud monitoring, fintech operations or financial data analysis.

• Strong SQL skills and experience working with structured financial datasets.

• Knowledge of transaction monitoring, suspicious activity indicators and financial crime prevention principles.

• Familiarity with data visualisation tools such as Power BI, Tableau or comparable reporting platforms.

• Understanding of digital payments, electronic transfers and financial account activity.

• Ability to interpret complex information and communicate findings clearly.

• Strong attention to detail and a methodical approach to investigative analysis.

• Familiarity with Python or other analytical programming languages is an advantage.

• Ability to manage sensitive financial information responsibly and maintain accurate records.

Benefits

• Fully remote working arrangement within Estonia.

• Opportunity to develop specialist expertise in financial crime analytics.

• Exposure to fintech transaction monitoring and data-driven risk management.

• Collaborative working environment involving compliance, analytics and technology teams.

• Access to professional learning and technical development opportunities.

• Participation in projects focused on improving financial security and operational controls.

• Long-term opportunities within the financial technology and risk analytics sector.

Application Instructions

Candidates should provide an updated CV outlining their experience in financial data analysis, transaction monitoring, fraud prevention or compliance analytics. Applicants are encouraged to highlight their SQL capabilities, reporting experience and familiarity with financial crime investigation processes.

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

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