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Tier-1 brand, metro location, mid-senior generalist data role with broad technical requirements.
Strong regulatory and AML/SAR domain knowledge required reduces cross-industry transferability significantly.
Explicit 6-7 years, mandatory AML/compliance knowledge, and technical ML/SQL/PySpark requirements make filtering strict.
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Own end-to-end delivery and support of MI solutions using Dataiku, SharePoint, Oracle PL/SQL, Python automations, and Tableau, ensuring compliance with bank policies.
Provide analytical support including transaction surveillance analytics, issue remediation, process optimization, and automation for FCC Europe & Americas.
Support FCCA Risk Assessment with Inherent Risk analysis, data quality checks, and prepare documentation meeting internal audit and group policy standards.
Bachelor’s degree in computer science or related field; advanced degree viewed positively.
6-7 years of experience in a multinational financial institution, consulting firm, or law firm.
5+ years of programming experience with Python and SQL, including statistical analysis and data analytics.
Hands-on experience with statistical, time-series, predictive modeling, machine learning, NLP, and Big Data tools like PySpark.
Experienced in delivering data analytics and MI reporting solutions within regulated financial environments, especially AML, Sanctions, CDD, or Anti Bribery domains.
Capable of translating complex business questions into scalable analytical pipelines, dashboards, and machine learning models.
Able to manage projects end-to-end, communicate clearly, and handle stakeholder collaboration under compliance and audit standards.