Fraud Ops Analyst

Role Overview

• Review and confirm alerts received by CBNA for IPB U.S clients related CBOL wires, suspicious activity and escalated cases.
• Review accounts that have cash withdrawals in excess of a threshold or unusual pattern.
• Monitor checks that trigger alerting parameters in place and confirm legitimacy.
• Review fraud related cases that are opened by the business to the fraud unit pertaining to failed ids and suspicious activity.
• 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.
• Investigate data anomalies within fraud data sources to ensure accuracy and integrity, supporting operational reviews and reporting.
• Assist in the development and maintenance of operational reports and dashboards to provide timely insights for fraud prevention initiatives.
• Leverage basic SQL queries and data analysis tools to efficiently extract and manipulate data for fraud investigations and operational reporting.
• Identify opportunities for process automation within operational fraud prevention tasks to enhance efficiency.
• 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.

Tech Stack

• Python
• SQL
• Tableau

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• planned time off (vacation)
• unplanned time off (sick leave)
• paid holidays