The point where experts and best companies meet
Share
This job is responsible for performing more complex analysis and modeling to minimize fraud loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met, and propose policy/procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and creating mitigation strategies.
Responsibilities:
Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance
Leads the coordination of the production of product performance reports and updates for senior management
Strategy Development: Develop and implement comprehensive strategies to identify, prevent, and mitigate deposit fraud activities. Stay abreast of emerging trends and tactics to ensure the effectiveness of detection strategies.
Data Analysis: Leverage data analytics tools and techniques to analyze large datasets, identify patterns, and uncover indicators of deposit fraud activity. Develop predictive models and scoring mechanisms to prioritize potential cases.
Risk Assessment: Conduct risk assessments to identify vulnerabilities in the organization's systems and processes that may be exploited by fraudsters. Develop mitigation strategies to address these risks.
Collaboration: Collaborate with various departments, including compliance, fraud investigations, and operations, to ensure effective coordination and information sharing.
Reporting: Prepare regular reports including key performance indicators, trends, and recommendations for improvement.
This position iseligible for sponsorship.
Required Qualifications:
Proficiency in framing problems and developing impactful solutions with minimal oversight
Intermediate Excel and PowerPoint capability
Excellent communication and presentation skills
Ability to interact effectively and build relationships with business partners at all levels
Experience in managing competing priorities
Strong proven analytical experience
Desired Qualifications:
Advanced SAS/SQL coding ability
Fraud and/or Claims with focus on Deposit Fraud a plus
Understanding of advanced data analytics and modeling techniques
Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Digital, Call Center, etc.)
Bachelor’s Degree or Master's degree in a relevant field
Certification in fraud examination or risk management
Experience in the financial services industry
Familiarity with developing Tableau dashboards
Experience presenting to senior leaders
Experience with hypothesis testing and/or feature prioritization
These jobs might be a good fit