Perform ad hoc analysis using SAS, SQL, R, Python, or similar programming language to tie data from multiple sources together and recommending opportunities for enhancements
Complete robust financial impact assessments and forecasting
Identify fraud mitigation opportunities and assess operational, procedural and revenue impacts
Engage in vendor contract evaluation, issue management, impact assessment, track and communicate outcomes
Track and monitor projects, data and metrics
Respond to unexpected events and findings
Adhere to team standards, compliance and regulatory items, passing all audits
Basic Qualifications:
Bachelor’s degree, or equivalent work experience
Typically more than five years of applicable experience
Preferred Skills/Experience
Thorough knowledge of departmental data sources, fraud risk, and operations management associated with the product lines
Strong analytical skills relative to financial management, cost benefit analysis, evaluating fraud prevention infrastructure and forecasting fraud loss trends
Strong project management skills
Effective verbal and written communication skills
Engage in root cause analysis
Proficient computer navigation skills using a variety of software packages including Microsoft Office applications and data analysis software
The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days