Fraud Analytics Intermediate Analyst

Overview

The Fraud Ops Intermed Analyst is a senior analyst level position under the Regional Fraud Analytics team, responsible for executing day-to-day activities related to fraud rules development / tuning, fraud analytics, and the preparation of fraud-related MIS reports. This role supports the regional fraud analytics team by ensuring fraud detection systems are optimized, fraud trends are identified through data analysis, and reporting is timely, accurate, and actionable. Responsibilities

Provide professional analytical expertise relating to fraud prevention and loss control Analyze fraud trends, conduct investigative research into losses, and analyze loss type data to determine the nature of fraud patterns Perform complex data validation independently and make recommendations to portfolio managers based on data availability and analysis Resolve varied fraud issues with potentially greater impact, and provide guidance and input to teams to aid process improvement efforts Integrate in-depth specialty area knowledge with a solid understanding of industry standards and practices Conduct regular analysis of transaction data to detect fraud patterns, emerging threats, and control gaps Support investigations by providing data-driven insights and root cause analysis of confirmed fraud cases Assist in developing dashboards and models that support fraud trend monitoring and predictive analytics Prepare and distribute regular MIS reports (daily, weekly, monthly) covering fraud trends, rule effectiveness, case volumes, losses, and recoveries Ensure data accuracy, consistency, and completeness in all reports submitted to internal stakeholders and management Support ad-hoc reporting requests and regulatory data submissions as needed Adequately 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 Qualifications

3–6 years of experience in fraud analytics, fraud risk operations, or MIS reporting within banking, fintech, or payment services Strong hands-on skills in

SQL ,

Excel , and at least one analytics or scripting tool (e.g., Python, R, SAS) Experience with fraud detection platforms or rule engines (e.g., Actimize, Falcon, SAS, or equivalent) Familiarity with BI tools such as

Tableau ,

Power BI , or similar is preferred Consistently demonstrates clear and concise written and verbal communication Education

Bachelor's degree in Data Science, Statistics, Finance, Computer Science, or a related field Key Competencies

Strong analytical and problem-solving skills with attention to detail Ability to manage multiple deliverables and prioritize in a fast-paced environment Clear and concise communication, both verbal and written Team player with a proactive and accountable work style Preferred

Knowledge of regional fraud regulatory requirements Professional certification in fraud management (e.g., CFE) is a plus 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. If you are a person with a disability and need a reasonable accommodation to use our search tools and / or apply for a career opportunity review

Accessibility at Citi .

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