Description
:
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:
1. Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
2. 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
3. Leads coordination of the production of product performance reports and updates for senior management
Required Qualifications:
4. Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
5. Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)
6. Proven strong analytical and communication skills
7. Strong financial knowledge and understanding of fraud loss drivers
8. Strong knowledge of programming language (i.e. SAS or SQL) and experience with e-Ledger and Enterprise GL tools (EPM)
Desired Qualifications:
9. Bachelor's degree in Finance, Accounting, Economics (or related discipline)
10. MBA or graduate level work in finance, accounting, and/or business management is preferred
11. 2+ years of fraud experience and/or 2+ years of analytical /financial experience
12. Outstanding quantitative, critical thinking, and analytical skills
13. Confidence with finance and accounting concepts
14. Ability to work with and communicate effectively with others, demonstrate leadership, and possess strong interpersonal skills
15. Ability communicate and interact with a high degree of professionalism with executive level personnel across the business
16. Ability to present, lead, support, and influence senior management and business stakeholders
17. Innovation mindset with the ability to challenge the status quo
18. Leadership and management skills, including development of teams and individuals
19. Ability to prioritize and handle multiple projects at the same time
20. Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines
Skills:
21. Business Analytics
22. Business Intelligence
23. Data Quality Management
24. Fraud Management
25. Monitoring, Surveillance, and Testing
26. Collaboration
27. Data Visualization
28. Oral Communications
29. Problem Solving
30. Written Communications
31. Analytical Thinking
32. Critical Thinking
33. Data and Trend Analysis
34. Innovative Thinking
35. Research
Shift:
1st shift (United States of America)
Hours Per Week:
40