The candidate should have 6 + years of relevant experience in Operations Research and Data Analytics.
- Bachelor's degree or equivalent in Statistics, modeling or data Analytics.
- Strong Retail Banking is good to have.
- Experience working with the US Retail market is a plus.
- Experience of working with International Partners in an Offshore and Onshore model is a plus.
- Demonstrated proficiency with Microsoft Office (Excel, PowerPoint).
- Proficiency in critical thinking and problem solving.
- Strong verbal and written communication skills.
- Strong understanding of data mining models, structures, theories, principles, and practices, including machine learning, statistics and text mining techniques.
- Excellent knowledge of statistical and modeling tools such as SAS, R, Python and SQL.
- Experience in large scale data handling.
- Ability to guide and conduct research and drive valuable insights from data.
- Strong familiarity and experience with statistics, modeling, segmentation, optimization, forecasting, demand mitigation is a must
- Should have strong understanding of Queuing theory.
- Experience of visualization tools like Tableau is good to have.
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