Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more — to reveal the insights hidden within data
Build statistical/machine learning models to challenge “champion models” that are deployed in production today
Contribute to the model governance of the next generation of machine learning models
Present how model risks could impact the business to executives

Requirements

A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration
Experience working with AWS
At least 2 years’ experience in Python, Scala, or R
At least 2 years’ experience with machine learning
At least 2 years’ experience with SQL

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonScalaRSQLmachine learningstatistical modelsdata analyticsmodel governancerisk assessmentdata modeling

communicationcollaborationpresentationproblem-solvingcritical thinking

Bachelor’s DegreeMaster’s DegreeMBA with quantitative concentration