We are seeking a highly experienced Data Analyst to join a large-scale FinCrime program, supporting a major banking group operating across 30+ EU subsidiaries.
In this role, you will focus on data profiling and analysis of financial transaction data, contributing to the implementation and optimization of advanced transaction monitoring systems. Your work will directly support the development of rule-based detection scenarios and ensure high data quality across the platform.
Requirements: * Master’s degree in Data Analysis or a related field * 5+ years of experience in data analysis * Proven expertise in data profiling and data quality assessment * Strong background in analyzing financial transaction data * Proficient in Python and Git * Excellent English communication skills (written and verbal) * Experience with GCP/BigQuery and/or FinCrime/Banking (preferred, not required)
Duties: * Perform data profiling, cleansing, validation, and quality assessment of raw financial data. * Analyze large transaction datasets to support the refinement of anti-money laundering rules and detection logic. * Provide actionable insights through reports and dashboards for both technical and business stakeholders. * Use Python and Git to document and automate data workflows. * Collaborate closely with engineering and data science teams, integrating new data sources and supporting GCP/BigQuery environments (a plus).
