Leverage analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy.
Ownership and management of fraud rules, scores, and detection strategies
Analysis of customer data and transactional data to identify emerging fraud trends, develop, and improve fraud strategies.
Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis and implement mitigation strategies.
Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.
Continually assess manual and automated processes to identify potential process gaps and opportunities.
Analysis of customer data and transactional data to identify emerging fraud trends, develop, and improve fraud strategies.
Periodic review and development of MIS reports, dashboards, and communication of fraud results internally and to the business using advanced visualization techniques.
Required Qualifications / Skills:
Bachelor’s degree in Statistics, Economics, Finance, Mathematics, or a related quantitative field
Engineering / MBA background from a premier institute
Minimum 2+ years of hands-on analytical experience
Hands on experience in : SAS / SQL, Python (mandatory)
Ability to work in a fast paced, dynamic, environment.
Hands on experience in data visualization tools, such as Tableau
Analytical and problem-solving ability to deliver projects in a fast-paced environment.
Strong verbal and written communication skills; experience with stakeholder management
Experience in fraud strategy/processes and/or fraud analytics is desired but not mandatory.