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The Business Analytics Int Analyst is a developing professional role responsible for leveraging analytics to identify opportunities, manage fraud strategies, and collaborate with teams to develop data-driven recommendations. Responsibilities include fraud rule management, emerging trend analysis, and mentoring junior team members.
Job Responsibility:
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
Periodic review and development of MIS reports, dashboards and communication of fraud results internally and to the business using advanced visualization techniques
Work with various stakeholders during strategy development and conversion efforts to identify and fulfill data/analytical needs
develop comprehensive transition plan
Mentor and coach junior team members
Requirements:
Bachelor’s degree in Statistics, Economics, Finance, Mathematics or a related quantitative field
Engineering / MBA background from a premier institute
Minimum 6+ years of hands-on analytical experience
Minimum 4+ years’ experience in statistical analysis with working knowledge of: SAS / SQL (mandatory), R / Python (desired)
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
Excellent presentation skills to eloquently explain and drive the agenda
Experience in fraud strategy/processes and/or fraud analytics is desired but not mandatory
Nice to have:
R
Python
Experience in fraud strategy/processes and/or fraud analytics
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