Experience with decision engines and fraud platforms
This role is responsible for developing, implementing, and optimizing fraud risk management strategies across the customer lifecycle for Maya Bank enterprise products
Job Summary
This role is responsible for developing, implementing, and optimizing fraud risk management strategies across the customer lifecycle for Maya Bank enterprise products.
The incumbent will design and tune fraud detection models in partnership with data science teams while ensuring effective fraud detection and monitoring processes.
Candidates must possess a minimum of 3 years of experience in lending fraud assessment, identity fraud prevention, and fraud data analytics.
Matching Summary
This role is responsible for developing, implementing, and optimizing fraud risk management strategies across the customer lifecycle for Maya Bank enterprise products.
Skills & Requirements
Must-have
3+ years lending fraud assessment experience
Fraud data analytics with SQL Python
Experience with decision engines and fraud platforms
Knowledge of payment wallet and banking architecture
Threat analysis and anomaly detection skills
Nice-to-have
Digital banking and lending domain knowledge
Cross-functional collaboration and strategic communication
Experience with AI and ML technologies
Business acumen for financial industry
Ability to balance fraud controls with customer experience
Key Requirements
Minimum 3 years experience in lending fraud assessment
BS degree in Mathematics, Statistics, CS, IT, or Data Science