Qualifications

Who we are looking for?

• Have Master’s degree in mathematics, statistics, economics, or related field or MBA from top-tier universities with a strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work.
• 3 - 5 years of relevant Financial Crime 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:
• Anti Money Laundering, Financial Crime, Transaction Monitoring, Customer KYC/CDD, Customer screening, etc.
• Advanced skills in development, validation and monitoring of AML analytics models, strategies, visualizations. Understanding of evolving methodologies/ tools/ technologies in the Financial Crime 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 Fenergo, NICE Actimize, SAS AML, Quantexa, Ripjar, etc.

Key Responsibilities:

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 financial crime analytics/management solutions for Accenture’s clients.
• Advise clients on a wide range of Financial Crime Management/ Analytics initiatives. Projects may involve Financial Crime 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 Financial Crime Analytics and Management