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Tier-1 bank, metro role, and generalist mid-level data requirements raise applicant competition.
FCC/AML and banking compliance focus makes skills less transferable across industries.
Explicit 6–7 years, required Python/SQL/PySpark/Dataiku and AML expertise create strict shortlisting filters.
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Owns end-to-end data analysis and MI reporting solutions using tools like Dataiku, Python, Tableau, Oracle PL/SQL for FCC compliance and operational needs.
Delivers and supports automation and process improvements including transaction surveillance analytics and issue remediation across multiple regions (Europe & Americas).
Supports FCCA Risk Assessment, data mining needs, and documentation in line with group policy and audit requirements.
Bachelor’s degree in computer science or related field; advanced degree preferred.
6-7 years of experience in large multinational financial institution, consulting firm or law firm.
5+ years hands-on programming experience in Python and SQL, with statistical analysis expertise.
Experience with compliance regulations knowledge (AML, Sanctions, CDD, Anti Bribery) and understanding of SAR process.
Experienced in managing data analytics projects and delivering operational automated solutions in a regulated financial environment.
Proficient in statistical, predictive modeling, machine learning, and big data technologies including PySpark.
Strong ability to interpret complex compliance-related information and translate business questions into analytical solutions using dashboards and machine learning models.