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This job is responsible for performing more 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, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create 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 coordination of the production of product performance reports and updates for senior management
Analyze complex data to provide insights into incoming and loss trends or identify potential problems
Develop reporting for Consumer Card Products and Channels including audit / regulatory reports
Identify process improvements and efficiencies via data analysis
Participate in collaborative reporting and design sessions with organizational stakeholders and business owners to design, build, and deliver reports and dashboards to meet business goal
Develop and maintain automated production environment using stored procedures
Collaborate with other developers to create / maintain scalable processes and best practices
Manage multiple projects, shifting priorities as needed to produce accurate work while meeting established deadlines
Deliver accurate metrics related to fraud and claim activity
Validate the integrity and quality of data required for performing analysis
Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals.
Other duties as assigned
*This position is not eligible for sponsorship*
Required Qualifications:
2+ years of analytical experience (Payment card /Retail Bank background preferred)
2+ years of SAS and/or SQL
Tableau and/or MicroStrategy
Strong quantitative, critical thinking, and analytical skills
Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business
Ability to work independently as well as part of a virtual team
Innovative mindset with the ability to challenge the status quo
Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines
Proven strong analytical and communication skills
Desired Qualification:
Bachelors degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business
MBA or graduate level work in finance, accounting, and/or business management is preferred
Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)
Python, Hadoop
2+ years of fraud experience
Skills:
Business Analytics
Business Intelligence
Data Quality Management
Fraud Management
Monitoring, Surveillance, and Testing
Collaboration
Data Visualization
Oral Communications
Problem Solving
Written Communications
Analytical Thinking
Critical Thinking
Data and Trend Analysis
Innovative Thinking
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