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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
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
Required Qualifications:
3+ years of fraud experience and/or 3+ years of analytical experience
5+ years of SQL
5+ years of ETL experience
Strong analytical and critical thinking skills
Ability to communicate and interact with a high degree of professionalism with business partners 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
Experience interpreting data and tailoring views to different audiences
Desired Qualifications:
Bachelors degree in a quantitative discipline such as technology, finance, or business
Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
5+ years of SAS
3+ years of Tableau
Mortgage/HELOC / CVL background preferred
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