Business Analytics Int Analyst - C11

5 - 9 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Spec Analytics Analyst 1 in the Fraud Analytics team at Citi, your role will be crucial in preventing financial crime. You will collaborate with the strategy development team to test, validate, and execute various strategy changes and model deployments. Your primary responsibilities will include: - Having a strong understanding of system and user functionalities of various fraud orchestration engines such as Actimize (RCM/Actone), SAS Fraud Manager, Lexis Nexis/Threat Metrix, among others - Developing policy rules and fraud strategies - Providing feedback on rule performance, trends, and volumes - Developing tactical and strategic solutions with high visibility for key stakeholders - Conducting gap analysis to identify system weaknesses and actively working to close such gaps - Developing and supporting fraud rule performance management tracking - Maximizing the capabilities of decisioning platforms through rule development Other key responsibilities include: - Conducting BAU-analysis on bad merchants and the manual check process - Contributing to organizational initiatives - Working with various stakeholders during strategy development and execution Qualifications required: - Bachelor's degree in a quantitative discipline - Minimum of 5 years of hands-on experience in system execution, system testing, and analytics - Proficiency in SAS/SQL (Oracle/Teradata) and good programming knowledge - Experience in model execution and governance in any domain - Demonstrable analytic and problem-solving skills - Ability to deliver projects in a fast-paced environment - Strong communication skills and stakeholder management experience - Basic knowledge of reporting and visualization tools like Tableau and Actimize knowledge Preferred qualifications include a background in strategy execution or control, ability to work independently, risk and control mindset, handling large volumes of transactional data, strong project management and organizational skills, and capability to handle multiple tasks and meet deadlines effectively.,

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