Fraud Analytics Role - SAS/Python/SQL

Fraud Analytics Role - SAS/Python/SQL - Big7 (Diversity)

Engagement Execution:

- Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for the 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:

- Guide junior team members.

- 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

Requirements

- 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