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Head of Financial Crime Prevention Model Analytics
About the role
Financial Crime Prevention Model Analytics team at StoneX leads a first‑line analytical centre of excellence for transaction monitoring, customer and payment screening. The role defines, calibrates and optimises detection models, oversees data quality and governance, and drives AI‑enabled analytics to enhance risk coverage. Based in Bangalore or Pune with a hybrid work model, the leader will build and mentor a high‑performing analytics function and collaborate with technology, data and vendor partners.
What you’ll do
- Establish and lead the FCP Model Analytics function
- Design, calibrate and optimise detection scenarios, rules and thresholds
- Oversee data quality, integrity and governance for monitoring and screening data
- Manage sanctions, PEP and watchlist analytics and list governance
- Produce risk coverage, detection performance and operational efficiency reports
- Define and execute analytical testing, UAT and implementation readiness
- Support governance, regulatory readiness and AI model validation
- Develop team capability and foster a culture of evidence‑based decision making
What you’ll bring
- Significant experience in financial crime analytics
- Strong understanding of financial crime typologies and detection methodologies
- Proficiency in statistical analysis, model governance and performance metrics
- Experience with data quality, data lineage and AI model governance
- Stakeholder management and senior‑level communication skills
- Knowledge of SQL, Python and data visualization tools
- Familiarity with financial crime technology platforms (e.g., NICE Actimize, LSEG World‑Check)
Skills
Benefits
- Competitive salary
- Health, dental and vision benefits
- Retirement savings plan
- Paid time off
- Professional development opportunities