Fraud Risk Loss Forecasting Analytics
Found in: Talent IN C2 - 2 weeks ago
The Fraud Loss Forecasting team is part of the Consumer Banking Risk Management and Fraud Center of Excellence (COE) team within Consumer and Community Banking Risk. 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 risk management strategy.
As a Fraud Risk Loss Forecasting Analytics - Associate within the Consumer Banking Risk Management and Fraud Center of Excellence (COE) team, you will be a key contributor to the Loss forecasting team’s overall responsibilities. You will strengthen the overall financial discipline of managing fraud by providing analysis that bolsters and validates the team’s recommendations. You will take accountability towards strategic analytical initiatives in fraud loss forecasting, analyze and interpret key business portfolio promoters of fraud loss trends, and identify and execute on key areas of portfolio management strategies. You will also enhance existing loss forecasting processes and liaise with key stakeholders across business functions to assess impact and to implement the same in forecast adjustments.
Job Responsibilities:
Take accountability towards strategic analytical initiatives in fraud loss forecasting, Analyze and interpret key business portfolio drivers of fraud loss trends Identify and execute on key areas of portfolio management strategies and Enhance existing loss forecasting processes Liaise with key stakeholders across business functions to assess impact and to implement the same in forecast adjustments Take complete ownership and accountability towards delivering on goals and priorities for the business / function Review progress made and outcomes with senior leadersRequired qualifications, capabilities, and skills
Master’s/Bachelor’s degree in a quantitative or business discipline from an accredited college/university required; 3+ years of experience in risk analytics; Working knowledge and development experience with SQL, SAS and related tools Pragmatically solve business problems through structured problem solving approaches. Achieve tight timelines on complex deliverables. Synthesize / analyze diverse information, develops recommendations, and influence decisions. Effective in communicating with strong executive presence.Preferred qualifications, capabilities, and skills
Working experience with globally distributed teams preferred Prior banking and risk experience preferred Highly proficient in Microsoft Office suite of products.-
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