Consumer Product Strategy Analyst III – Loss and Expense Forecasting/Reporting
1 month ago
This role is responsible for performing advanced analysis and modeling to minimize loss exposure and negative impacts on the customer experience. Key responsibilities include utilizing various systems such as Excel, SAS, SQL, Tableau, and other relational databases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results.
Key Responsibilities- Recommend ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs.
- Perform 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.
- Lead coordination of the production of product performance reports and updates for senior management.
- 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.).
- Proven strong analytical and communication skills.
- Strong financial knowledge and understanding of fraud loss drivers.
- Strong knowledge of programming language (i.e. SAS or SQL) and experience with e-Ledger and Enterprise GL tools (EPM).
- Bachelor's degree in Finance, Accounting, Economics (or related discipline).
- MBA or graduate level work in finance, accounting, and/or business management is preferred.
- 2+ years of fraud experience and/or 2+ years of analytical /financial experience.
- Outstanding quantitative, critical thinking, and analytical skills.
- Confidence with finance and accounting concepts.
- Ability to work with and communicate effectively with others, demonstrate leadership, and possess strong interpersonal skills.
- Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business.
- Ability to present, lead, support, and influence senior management and business stakeholders.
- Innovation mindset with the ability to challenge the status quo.
- Leadership and management skills, including development of teams and individuals.
- Ability to prioritize and handle multiple projects at the same time.
- Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines.
- 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
- Research
1st shift (United States of America)
40 hours per week
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