Business Analytics Int Analyst - C11

• Develops Risk Segmentation models by deploying sophisticated statistical techniques like CHAID, cluster analysis, pattern recognition etc. 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
• Hands on experience of Credit/Fraud Risk strategy development.

Preferred knowledge of credit/fraud risk analytics

• Work closely with cross functional teams, including business stakeholders, MRM and governance teams, and strategy implementation teams. Implement initiatives to ensure consistency and compliance with global credit policies
• Observe key credit abuse trends, threats, inaccuracies and drivers of those observations. Support Audit requirements from external/internal auditors & queries from Independent Risk
• Strong analytic, strategic and project management skills
• Create story boards, presentations and project plans for discussions with senior management and governance requirements to drive insights
• Utilize UNIX and Statistical Analysis System (SAS) to perform risk, financial and data analyses including profiling, sampling, reconciliation, and hypothesis testing
• Knowledge and experience of statistical procedures and financial analytic tools. (SQL, R, Python, Hadoop, Spark, SAS) and Machine Learning knowledge preferred
• Experience in pre /post validation of deployed strategies and models and monitoring of strategy performance against established benchmarks.

• 4+ 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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