Business Analytics Analyst with SAS & Python

Job Description

Primary responsibilities include

• 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.

Required Qualifications / Skills

• Bachelor’s degree in Statistics, Economics, Finance, Mathematics or a related quantitative field
• Engineering / MBA background from a premier institute
• Minimum 3+ years of hands-on analytical experience
• Minimum 3+ 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
• Experience in fraud strategy/processes and/or fraud analytics is desired but not mandatory
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• Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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