Description
Citi is looking for an energetic, motivated professional to join its Fraud Analytics team as a Business Analyst.
As part of the Global Fraud Analytics team, this role manages and executes the fraud analytics and strategies supporting Citi’s North American Retail Bank business. This includes leveraging data to identify fraud trends, designing and implementing strategies to prevent and mitigate fraud attacks across the fraud lifecycle, including application and synthetic ID fraud, account takeover and sophisticated new attack schemes.
This role partners closely with Senior stakeholders, Fraud Policy, Fraud Operations, and technology teams in order to determine potential and existing fraud impacts and implement the strategic interventions.
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.
- 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 fieldEngineering / MBA background from a premier instituteMinimum 3+ years of hands-on analytics experienceHands 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 TableauAnalytical and problem-solving ability to deliver projects in a fast-paced environment.Strong verbal and written communication skills; experience with stakeholder managementExperience in fraud strategy / processes and / or fraud analytics is desired but not mandatory.Job Family Group : Decision Management
Job Family : Business Analysis
Time Type : Full time
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
Python (Programming Language), SAS SQL.