Partner cross-functionally with teams throughout the enterprise including Product and Tech to deliver tangible business value
Implement rigorous data governance practices
Construct analytical data stores
Harness the power of analytics to unlock valuable insights
Drive innovation, shape strategic initiatives and propel AML Transaction monitoring to new heights in data management landscape
Enhance technical and analytical skills while working with leaders to influence business strategies
Requirements
Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics.
At least 5 years of experience performing professional data analysis work
At least 5 years of experience leading and developing with open source data technologies
At least 2 years of experience managing people
Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field preferred.
At least 7 years of experience in statistical or econometrics hands-on work preferred.
At least 5 years of experience manipulating and performing analysis with large data sets, including scripting experience in Python, SQL, and Spark preferred.
At least 5 years of experience in financial services industry preferred.
At least 5 years of experience in developing statistical or econometric models preferred.
At least 5 years of experience in validating statistical or econometric models preferred.
At least 2 years of experience with data governance preferred.
At least 2 years of experience with predictive analytics preferred.
Benefits
Comprehensive, competitive, and inclusive set of health benefits
Financial benefits
Other benefits that support your total well-being
Job title
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