Technical Financial Crime Manager (Fintech/Payments)

Tasks

• Analyze large datasets for emerging risks
• Build and refine operational processes and KPIs
• Collaborate with cross-functional teams
• Design and optimise detection rules and models
• Develop dashboards and reporting frameworks
• Implement automation and scale solutions
• Manage detection tools and platform improvements
• Manage fraud and AML detection systems
• Measure and improve detection performance
• Oversee detection domain operations
• Provide updates to senior stakeholders
• Support audits and regulatory reviews
• Translate risk and business requirements into detection logic

Perks/Benefits

• N/A

Skills/Tech-stack

AI-assisted tooling | AML/CTF | Alerting systems | Analytics stacks | Automation | Case management | Case management tools | Data Analysis | Detection Systems | Financial crime | Financial crime typologies | Fraud patterns | Machine Learning | Management Tools | Monitoring Platforms | NoSQL | NumPy | OLAP | OLTP | Pandas | Python | Regulatory Compliance | Risk Management | Risk detection | Risk detection systems | SQL | Scikit-learn | Series forecasting | Statistical modeling | StatsModels | System design | Team leadership | Time Series | Time Series Forecasting | Transaction screening | Version control