Find your next job

Key Responsibilities

• 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.

• Ensure alignment with regulatory requirements by building scalable reporting platforms and documenting data protocols 

• Partner with legal, product, and operations teams to translate complex technical findings into actionable business insights for senior management

• Maintains auditability, traceability, and evidence generation within systems.

Requirements

• Degree in Statistics, Mathematics, Data Science, Economics, or related quantitative field

• 3 years in data science, advanced analytics, or machine‑learning roles.

• 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 supporting compliance operations, investigations, or model governance.

• Experience building and deploying ML models in production environments.

• Strong analytical rigor, proactive problem-solving, and capability to communicate technical concepts to non-technical partners

• Self-motivated, adept in working individually and as part of a global team