Additionally, this role is specifically designed to support activities related to transitioning compliance systems to advanced, data-driven Artificial Intelligence / Machine Learning solutions e.g.
Design, deploy, and monitor predictive models and AI algorithms to detect anomalies, fraud, or potential breaches.
Conduct deep-dive analyses into risk events, identifying root causes to improve risk strategies and operational workflows.
Analyze large datasets to identify patterns, anomalies, and emerging risks.
Performs data validation, cleansing, and reconciliation for regulatory reporting.
Degree in Statistics, Mathematics, Data Science, Economics, or related quantitative field.
Proficiency in various model development techniques.
Prior experience in financial services, fintech, payments, or consulting would be strongly preferred.
Exposure to financial‑crime systems (e.g., transaction monitoring, sanctions screening, case‑management platforms).
Experience: Senior-level · 4–6 years · Job type: Full-time
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