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This position is part of the CCB Risk Analytics organization within Consumer &amp; Community Banking Risk Management. Our mission is to make better customer-level risk decisions through the use of data from across all of the Retail and Wholesale customer bases within the Consumer &amp; Community Bank and the Commercial Bank Description The Senior Data Scientist will design, execute, and interpret statistical analyses to drive insights and strategy. This role requires an individual to leverage creative analytical problem solving skills while using large data sets from a broad range of sources. In addition to top-tier analytical capabilities, the desired candidate should have exceptional unstructured problem-solving skills coupled with excellent written and oral communication. Educational Requirement: PhD with 3+ years or Master's Degree with 5+ years of experience operating as an analytics professional (e.g. data scientist, statistician, and related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Computer Science, Information Science, and related disciplines. Preferred Skills: - Design, execute, and interpret statistical analyses to drive insights and strategy - Experience in the development of statistical and machine learning models (e.g. logistic regression, random forests, gradient boosting, neural networks) - Experience in developing credit models and/or analytics to support credit strategy - Experience using credit bureau data to develop credit models - Leverage creative analytical problem solving skills while using large data sets from a broad range of sources - Query enterprise databases using SQL to obtain relevant data for analysis - Write computer programming code in R, SAS, Python, and Scala to perform statistical analyses and develop machine learning solutions to business problems - Use classical and modern statistical techniques (hypothesis testing, AUC, correlation analysis, clustering analysis) to draw coherent conclusions about the business's data - Effectively reshape data to run efficiently on advanced analytics platforms including Hadoop using Spark - Translate classical statistical methods written in SAS, R, and Python into code that can execute using Spark - Write summary documentation of analyses performed for both technical and non-technical audiences within the firm - Present results to peers and higher levels of management - Share advanced machine learning and execution knowledge with team members as new techniques are discovered to solve analytical problems JPMorgan Chase &amp; Co. has earned a reputation as an institution that maintains high standards of transparency and accountability. Building and protecting that reputation requires commitment from everyone to make our firm the best it can be. In addition to fulfilling the skills and qualifications required for this role, the ideal candidate should possess the following personality traits: - Integrity - Accountability - Collaborative - Respect - Community Awareness

Bangalore

 JP Morgan Chase - Associate - Data Scientist 

Job Description for  JP Morgan Chase - Associate - Data Scientist  in J.P. Morgan Services in  Bangalore for (4-10) years of experience. Apply Now!

JP Morgan Chase - Associate - Data Scientist  | iimjobs.com