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Fraud Risk Group Manager

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Job Details
Job Order Number
JC163561025
Company Name
Citigroup
Physical Address

Wilmington, DE 19893
Job Description

The Retail Bank Customer Experience Analytics Fraud Risk Group Manager is responsible for development and deployment of fraud strategies and management of other analytical & technology projects with an objective to reduce customer pain points and enhance fraud detection. This role to oversee the implementation of fraud strategies, gain approval for broad fraud strategy changes, manage the monitoring of fraud strategy performance in an attempt to minimize customer’s pain points. Provides effective leadership, education, coaching and consultation for business segments’ fraud/loss policies, procedures, initiatives and programs. Manages, motivates and develops the performance of the team and key contributors. Oversees reactive and proactive reporting and analytics around operational performance, fraud prevention and other business requests. Accountable for improving and influencing bottom line results that may include Net Promotor Score (NPS), Fraud Impact Rates, and other metrics relating fraud and customer experience performances. Works closely with internal fraud partners, business partners and external vendors to ensure optimal strategic use of fraud tools. Works with external vendors on various aspects of fraud prevention including fraud model development, performance monitoring and strategy implementation. Leads and directs a team of analysts within the United States and other offshore locations. Requires a comprehensive understanding of multiple areas within Retail Bank and how they interact in order to achieve the objectives of the function. Responsibilities: Responsible for leading Customer Experience Analytics function in support of Retail Banking Fraud prevention function. Further, this role also requires developing strategic framework in establishing customer experience roadmap for the Retail Banking portfolio. Responsible for discovering threat landscape and customer insights in identifying opportunities through newest data and analytical methods (e.g. statistical, algorithmic, mining and visualization techniques, machine learning among others). Act as a creative thinker to the organization and propose new ways to look at problems by using data and available information, presenting back their findings to the business by sharing their assumptions and validation work in a pragmatic / simple ways that can be easily understood by their business non-analytics counterparts. Responsible for automating work with predictive and prescriptive analytics. Lead and develop an internal capability to distill information and results from various data science models into something that is simple and pragmatic and that everyone can understand (e.g. storytelling to key stakeholders based on analysis and experiments). Provides subject matter expertise including mathematical risk modeling on developing the Independent Fraud Risk Team’s Fraud Risk Assessment application (proprietary software). Oversee a team of analysts that builds, tests, analyzes data, and models to enhance user experience, customer service, and operational expense reduction. Work closely with clients from the organization to turn data into critical information and knowledge that can be used to solve key use cases Build effective working relationships within own department and across department, functional, and geographic reporting lines to execute against key portfolio priorities. Provide other analytical support in managing Retail Bank fraud prevention function Qualifications: 10+ years relevant experience Require a university / college degree, or higher-level education such as a Master’s degree, PhD, etc. in a quantitative discipline. Experience working in Big Data environment with hands on coding experience within various traditional (SAS, SQL, etc.) and open source (i.e. Python, Impala, Hive, etc.) tools. Proficiency in various quantitative, optimization and predictive analytics techniques using various statistical techniques Understanding and hands on working experience of traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc. Hands on experience with data visualization tools, such as Tableau, Excel, etc. Preference given for a person with strong understanding of various Fraud systems such as SAS Raptor, Actimize IFM/IFM-X, FDR DefenseEdge, PinDrop, etc., spanning across authentication, detection and resolution domains Excellent verbal and written communication skills required in order to communicate effectively, internally and externally, often at a senior level. 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 -—————————————————————————- Time Type :Full time -—————————————————————————- Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity. Citigroup Inc. and its subsidiaries (“Citi”) invite all qualified interested applicants to apply for career opportunities. 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 CLICK HERE . To view the “EEO is the Law” poster CLICK HERE . To view the EEO is the Law Supplement CLICK HERE . To view the EEO Policy Statement CLICK HERE . To view the Pay Transparency Posting CLICK HERE .

Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.


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