Who we are looking for?

• 3-5 years of relevant Fraud Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas:
  • Banking Fraud, Payment Fraud, Credit Card Fraud, Retail
  • Fraud, Anti Money Laundering, Financial Crime, Telecom
  • Fraud, Energy Fraud, Insurance Claims Fraud etc.
• Advanced skills in development and validation of fraud analytics models, strategies, visualizations.
• Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space.
• Expertise in one or more domain/industry including regulations, frameworks etc.
• Experience in building models using AI/ML methodologies
• Modeling: Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc.  Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc.

• Strong conceptual knowledge and practical experience in the Development, Validation                                     and Deployment of ML/AL models
• Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau)
• Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS)
• Strong written and oral communication skills
• Project management skills and the ability to manage multiple tasks concurrently
• Strong delivery experience of short and long term analytics projects

Gurugram

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