The point where experts and best companies meet
Share
Job Description:
Job Description:
This job is responsible for performing complex analysis and modeling to minimize 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 and ensure goals are met. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.
Responsible for performing complex analysis and monitoring strategy performance, fraud alerts, operational effectiveness, claims, and losses.Other responsibilities include:
• Developing effective monitoring and oversight to identify and mitigate Account Takeover risk.
• Working closely with Account Takeover Strategy across Deposit, Digital, and Card products to understand limitations, identify synergies, and opportunities for improvement.
• Investigation and root cause analysis of major fraud losses and emerging trends with focus on preventing recurrence.
• Utilizes portfolio trends to propose strategy and policy changes within segmentation structure to produce optimal results.
• Role would also include project scope leadership where candidate would be responsible for providing fraud requirements, testing, and development of strategies.
• Excels at risk/reward trade off.
• Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors.
Responsibilities:
Analyzes and interprets large sets of raw data to recommend ways to help the business achieve desired outcomes and make informed business decisions
Defines, gathers, analyzes, and interprets data using applications and technologies to forecast future trends and communicates to leaders and partners the statistical analysis results and predictions
Coordinates the production of product performance reports and updates for senior management
Skills:
Business Intelligence
Data and Trend Analysis
Fraud Management
Monitoring, Surveillance, and Testing
Research
Business Analytics
Data Quality Management
Data Visualization
Problem Solving
Written Communications
Analytical Thinking
Collaboration
Critical Thinking
Innovative Thinking
Oral Communications
• 5+ years in Fraud Prevention, Strategy, Risk, Policy, Operations, or a combination.
• Experience with multiple products such as, Digital (Zelle, ACH, Wires) Deposit (DDA, Checks), Cards (Credit and Debit)
• Proficient in Fraud Management tools used by operations to work alerts and identify Fraud Risk. E.g. Flash, BASS, Lexis Nexis.
• 2 years of experience in data analysis
• Intermediate Excel and PowerPoint capability.
• Ability to identify opportunities for improvement and work autonomously with minimal direction.
• Ability to work in a fast-paced, dynamic environment.
• 2+ years of experience in business analysis
• 1+ years of experience in consulting
• 2+ years of experience in SAS or SQL querying
These jobs might be a good fit