•Develop Risk Segmentation, Strategies for credit abuse/first party fraud risk discrimination at Acquisition and Existing Customer Management stages. Work in establishing the swap set analysis and P&L optimization using the models

•Develop recommendations to adjust credit abuse strategies by analyzing loss and financial performance and utilizing statistical scoring, segmentation, and regression and simulation techniques

•Create story boards, presentations and project plans for discussions with senior management and governance requirements to drive insights

•Participate in audit related reviews , regulatory reporting and should have sound communication skill to present in such forums

•Work closely with cross functional teams, including business stakeholders, MRM and governance teams, and model implementation teams

•Lead projects for junior team members and helps them in their professional development

•Participate in developing, testing, and optimizing abuse strategies, ensuring consistency and regulatory compliance, and assist in the implementation of those strategies, processes and other related initiatives

•Utilize Statistical Analysis System (SAS) in a UNIX environment to perform risk, financial and data analyses including profiling, sampling, reconciliation, and quality testing

•7+ years of relevant experience

•Advanced Degree (Masters required) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline

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Job Family Group:

Decision Management

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Job Family:

Business Analysis

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Time Type:

Full time

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