Manager - Fraud Analytics - Financial Services Firm

7 - 10 Years

Bangalore

Posted 4 years ago

#Analytics #Fraud Analytics #Data Visualization #Artificial Intelligence #Machine Learning #Consulting - BFSI #Data Modeling #SAS #Statistics #SQL #Python

1. 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.

2. Advanced skills in the development and validation of fraud analytics models, strategies, visualizations.

3. Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space.

4. Expertise in one or more domain/industry including regulations, frameworks etc.

5. Experience in building models using AI/ML methodologies

5. Modeling: Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of tools/ vendor products such as Quantexa, Ripjar, SAS AML, Actimize etc.

Key Responsibilities:

- Lead client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for our 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 thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management

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

Professional Development Skills: Project Dependent

1. MBA or Master's degree in mathematics, statistics, economics, operations research or related field from top-tier universities with a strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work

2. Exposure to working in globally distributed workforce environment including offshore model

3. Strong project management skills and demonstrated experience in managing teams across functions and geographies