This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Intmd Associate Fraud Ops Analyst assists in developing, implementing, and maintaining an effective fraud prevention program for the International Private Bank (IPB) organization. This role leverages strong operational expertise, supported by data analysis and reporting capabilities, to proactively identify, mitigate, and respond to fraud risks, ensuring the safeguarding of Citigroup, its clients, and assets.
Job Responsibility
Fraud Alerts: Review and confirm alerts received by CBNA for IPB U.S clients related CBOL wires, suspicious activity and escalated cases
ATM Monitoring: Review accounts that have cash withdrawals in excess of a threshold or unusual pattern
Checks: Monitor checks that trigger alerting parameters in place and confirm legitimacy
RSM: Review fraud related cases that are opened by the business to the fraud unit pertaining to failed ids and suspicious activity
Second day review: Review and confirm all changes to client from countries considered high risk
Assist the Fraud Prevention Unit manager with various projects and initiatives, leveraging data-driven insights
Effectively provide updates and communicate key initiatives to senior management, supported by comprehensive reporting
Identify emerging risks and contribute ideas to implement mitigating controls, utilizing data analysis to predict fraud issues
Attend meetings/conference calls as required and serves as a subject matter expert for team supported
Review goals, financial targets, strategy program, metrics, and reporting, actively contributing to their development and analysis
Develop diagnostics capabilities to predict fraud issues and address them, informed by robust data analysis
Analyze loss data to identify fraud trends and develop project plans to reverse trends and reduce losses, utilizing various data tools
Search for root cause of fraud and develop programs to close any gaps, often requiring in-depth data investigation
Perform capacity plans and contribute to the achievement of the Fraud Unit team goals
Interacts with all levels of managers, internal departments, and external clients to resolve complex issues, often using data to support findings
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Data Integrity & Analysis Support: Investigate data anomalies within fraud data sources to ensure accuracy and integrity, supporting operational reviews and reporting
Reporting & Dashboard Assistance: Assist in the development and maintenance of operational reports and dashboards to provide timely insights for fraud prevention initiatives
Technical Data Support: Leverage basic SQL queries and data analysis tools to efficiently extract and manipulate data for fraud investigations and operational reporting
Process Improvement: Identify opportunities for process automation within operational fraud prevention tasks to enhance efficiency
Cross-functional Collaboration: Collaborate with cross-functional teams to improve data flow and reporting capabilities relevant to fraud operations
Requirements
2-5 years of related experience
Minimum two years related experience
Banking or fraud prevention experience preferred
Strong Leadership and Analytical skills
Flexibility/Ability to Manage Change/ Attention to Detail
Good Communication and Presentation Skills
Team-oriented/ Team player/ Positive attitude
Intermediate Microsoft Office (Word, Power Point, Outlook)
Advanced Microsoft Excel, preferably experience with data analysis such as PIVOT tables
Familiarity or basic experience with Business Intelligence (BI) tools (e.g., Tableau Desktop/Server) for data visualization is a plus
Exposure to SQL for data querying and extraction is highly beneficial
Basic understanding or exposure to scripting languages (e.g., Python) for data manipulation or automation, or workflow automation tools (e.g., KNIME) is a plus
Awareness of AI/Machine Learning concepts in the context of data analysis and fraud detection is considered an asset
Nice to have
Exposure to fraud analytics, risk management, or regulatory reporting
Experience with Tableau Prep, Python, KNIME, or Big Data tools
Understanding of database design and query optimization
Familiarity with enterprise reporting environments
Experience working on analytics or reporting projects
What we offer
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays