Own deep dives on our emerging fraud trends to identify and isolate new attack patterns
Provide independent assessment on root cause /drivers behind variance of actuals vs. forecast
Support forecasting process for some of our operating loss lines across baseline and stress scenarios
Develop / Enhance Long term and short term Loss forecasting framework across loss channels
Liaise with Operations, business functions and strategy owners to understand business changes and operations impact and to implement the same in forecast adjustments
Develop various senior management presentation on Monthly / quarterly/annual on Fraud Loss
Take complete ownership and accountability towards delivering on goals and priorities for the business / function
Required qualifications, capabilities, and skills
Master’s/Bachelor’s degree in a quantitative or business discipline from an accredited college/university required; advanced degree
Minimum 5 years of experience in analytics space, prior experience in risk roles.
SAS/SQL programming experience (familiarity with PC, UNIX or mainframe)
Highly proficient in Microsoft Office suite of products
Demonstrated leadership in applying analytics to efficiently and pragmatically solve business problems through structured problem solving approaches
Effective in communicating to senior leaders of an organization
Strong analytical, technical and statistical skills. Ability to synthesize / analyze diverse information, develops recommendations, and makes decisions
Project Management Skills -- well-organized, structured approach. Ability to achieve tight timelines on complex deliverables. Ability to manage and prioritize projects across cross-functional groupsPreferred qualifications, capabilities, and skills
Working knowledge of financial budgeting and planning analysis preferred