Fraud Risk Officer

Job Description

We are looking for an energetic, motivated professional to join our growing team, supporting strategy development with a particular analytic focus on fraud authorization detection and loss mitigation. In this role, you will be facing off against intelligent, adaptive perpetrators of financial crime. The candidate will be closely involved with analysis, presentation, implementation, and monitoring of the strategies in the fraud detection system in addition to using analysis to support process improvements outside of authorization strategies all while balancing the customer experience. The candidate will work closely with the various stakeholders including Fraud Operations, Claims, Prevention, Technology, other risk teams and business owners.

Responsibilities:

• Develop and implement effective Fraud detection and prevention strategies to mitigate fraud losses while ensuring an appropriate balance between risk and customer experience at point of sale and client contact points
• Proactively identify fraud detection issues at the strategy and portfolio level and provide analytical/modeling solutions
• Manage large scale end to end projects, including vendor score business case development, product conversion, and technological implementation assessments
• Leverage customer data to build risk segmentation and mitigation strategies
• Complete complex analyses identifying authentication strategy and procedure gaps, manage implementation process across several business groups to affect change
• Identify portfolio monitoring gaps and work with MIS team to develop and build necessary reporting
• 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
• Must be able to effectively provide updates and communicate key initiatives to senior management

Qualifications:

• Bachelor’s degree in Mathematics, Statistics, Analytics, Finance, or Information Management required. An advanced degree is highly desirable
• A minimum of 5 years of experience in applied analytics is required, preferably in a risk management context
• Experience in the banking/financial industry
• Experience in the agile methodology of iterative project management
• Experience in the fraud risk discipline in Credit Cards or other Consumer Banking products is desired
• Experience in implementing strategies into real-time fraud prevention systems is desired
• Strong analytical skills. Familiar with large dataset environments
• Experience in statistical and data analysis in at least one of the following statistical software packages or languages: SAS (required), SQL, R, or Python
• Experience with UNIX desired
• Excellent organization skills
• Excellent communication and presentation skills are required
• Ability to be flexible and work in a rapidly changing environment
• Must be extremely 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.

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