S&C Global Network - AI - CFO & EV - Fraud Analytics - Manager

What you would do in this role

Engagement Execution

• Lead client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Accentures clients.
• Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes.
• Develop and frame Proof of Concept for key clients, where applicable

Practice Enablement

• Mentor, groom and counsel analysts and consultants.
• Support development of the Practice by driving innovations, initiatives.
• Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management
• Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral.

Travel: Willingness to travel up to 40% of the time

Professional Development Skills: Project Dependent

Who we are looking for?

• 7+ 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.

• Proven experience in one of data engineering, data governance, data science roles
• Experience in Generative AI or Central / Supervisory banking is a plus.
• 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