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Citi is looking for an energetic, motivated professional to join its Fraud Analytics team as a Spec Analytics Analyst 1. In this role, you will be tasked to prevent financial crime by working with strategy development team to test, validate and execute various strategy changes and model deployments.
Job Responsibility:
Prevent financial crime by working with strategy development team to test, validate and execute various strategy changes and model deployments
Ensure seamless implementation of fraud rule (Actimize Policy manager) & various Traditional and Machine Learning models adds, deletes, and edits ensuring all procedures and audit requirements are followed
Developing Policy rules/Fraud Strategies on Actimize Policy Manager UI and Promoting the same on Prod and Prod test environment
Collaborate with fraud strategy development teammates to provide feedback and performing validation on rule performance, trends and volumes
Focus on development of tactical and strategic solutions with high visibility for key stakeholders
Perform gap analysis to identify system weaknesses and work with various system partners to actively close such gaps
Assist with developing and supporting fraud rule performance management tracking
Ensure rules are developed in a fashion that maximizes the capabilities of our decisioning platforms
Periodic development of MIS reports, dashboards to communicate results on pre and post fraud strategy changes
Partner with various stakeholders during strategy development and execution to identify testing and validation requirements
BAU-Analysis on Bad merchant (Fraud merchant) on the basis of the fraud trends via SAS
BAU-Analysis on the manual check process via python model and SAS
Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc
Requirements:
Bachelor’s degree, preferably in a quantitative discipline
Minimum 5 years of hands-on experience in system execution, system testing and/or analytics
Minimum 5 years’ experience in working and good programming knowledge in SAS/SQL(Oracle/Teradata) is required
Good in enhancing the SQL queries according to the requirement for Data Validation and Analysis
Model execution and governance experience in any domain will be preferable
Candidate should have a demonstrable analytic, problem solving, and has the ability to deliver projects in a fast-paced environment
Strong verbal and written communication skills
experience with stakeholder management
Should also have a basic knowledge of reporting and visualization tools such as Tableau
Actimize knowledge (Policy manager, Platform list, profile reader and writer) would be a great add on
Strategy Execution or Control background preferred
Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues
Ability to handle large volumes of transactional data
Strong project management ,organizational skills and team handling capability
ability to multi-task and meet deadlines
Nice to have:
Actimize knowledge (Policy manager, Platform list, profile reader and writer)
Business knowledge on Financial crime risk management and Digital fraud
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