Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

As a Strategic Analytic Loss forecasting Associate in  fraud loss forecasting team for our Consumer and Community Banking (CCB). The loss forecasting team owns the forecasting and budgeting process for all our fraud and overdraft loss lines. This is a highly critical and visible role with ownership and accountability towards performing data analytics, providing insights and help setting up loss budgets.

Job responsibilities 

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 groups

Preferred qualifications, capabilities, and skills
  Working knowledge of financial budgeting and planning analysis preferred