Technical Financial Crime Manager

Tasks

• Analyze transactional and behavioral datasets
• Build KPIs dashboards and reporting
• Build fraud and AML detection rules
• Deploy models into production workflows
• Design scalable monitoring logic
• Develop statistical models and machine learning approaches
• Drive automation for fraud and AML workflows
• Embed detection logic into monitoring and alerting platforms
• Implement feedback loops from investigations
• Lead fraud and AML operational teams
• Measure detection performance metrics
• Partner with engineering and data for data pipeline improvements
• Support audits and regulatory engagements
• Translate regulatory requirements into technical controls
• Tune detection models and thresholds

Perks/Benefits

• N/A

Skills/Tech-stack

AML | Alerting systems | Amazon Redshift | BigQuery | CTF | Case management | DBT | Fraud Detection | GitHub | Machine Learning | Model Tuning | MongoDB | MySQL | NumPy | Pandas | PostgreSQL | Python | SQL | SQL Server | Sanctions screening | Scikit-learn | Series forecasting | Snowflake | Statistical modeling | StatsModels | Time Series | Time Series Forecasting | Transaction monitoring | Version control