Business Analytics Int Analyst - C11 - MUMBAI

The Business Analytics Int Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

Responsibilities:

• •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

Qualifications:

• 2-5 years relevant experience
• Advanced process management skills, organized and detail oriented
• Curious about learning and developing new skillsets
• Positive outlook with a can-do mindset

Education:

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

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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