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We are looking for an energetic, motivated professional to join our growing team, supporting strategy development with a particular analytic focus on Identity Theft and Fraud Application on Citi Retail Service (CRS) and Citi Brands portfolio. In this role, you will be facing off against intelligent, adaptive perpetrators of financial crime. The candidate will work closely with the various stakeholders including Fraud Operations, Claims, Prevention, Technology, other risk teams and business owners. The candidate will be responsible for the development and implementation of strategies in various fraud engines from acquisition to transaction in addition to developing enhanced solutions and working with potential vendors on expanding our rapidly evolving risk platforms.
Develop and implement effective fraud detection and prevention strategies to mitigate identity theft and application fraud losses for Citi Retail Services and Branded Cards while ensuring an appropriate balance between risk, operational costs and customer experience is maintained. This includes but not limited to behavioral and rules-based strategies to more complex analyses involving regression, decision trees, clustering, and development of deep learning models.
Manage large scale end to end projects, including vendor score business case development, product conversion, and technological implementation assessments
Complete complex analyses identifying acquisition, transaction, authentication strategy and procedure gaps, manage implementation process across several business groups to affect change
The position requires substantial interaction with Prevention, Operations, and other functional business partners to optimize business strategies
Apply subject matter expertise to the prioritization and planning of projects in conjunction with fraud management policies and strategies
Ensure product approval rates, operational review volumes, and application fraud losses are managed within planned guardrails
Develops and leads a motivated high performing team, ensure proper coaching of team members and prioritize work for smooth functioning
Partner in decision quality/defect reviews to identify strategy opportunities on incurred application fraud losses
Develop (or partner with MIS group) reporting on fraud application losses, trends and other controls
Share best practices with partners
Must be able to effectively provide updates and communicate key initiatives to senior management
Bachelor’s degree in Engineering, Statistics, Analytics, Mathematics, or Information Management required. Master’s degree is highly desirable.
Minimum 5+ years of experience in statistical and data analysis with working knowledge of at least one of the following statistical software packages: SAS/SQL, R, Python, or equivalent
Minimum 5+ years of Credit Cards related experience or 5+ years of analytics experience, preferably in a risk management context
Experience with decision tree and machine learning is desired
Experience in implementing strategies into real-time fraud prevention systems is desired
Strong analytical skills. Familiar with large dataset environments. Experience with UNIX desired
People leadership experience desired
Strong verbal, written, and presentation skills are required
Ability to be flexible and work in a rapidly changing environment with strong organization skills
Must be highly motivated with a desire to continuously learn and refine our processes
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Grade :All Job Level - All Job FunctionsAll Job Level - All Job Functions - US
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Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
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