Partner with a cross-functional team of data scientists, software engineers, and product managers
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark
Build machine learning models through all phases of development
Transform raw banking data into high-value features that forecast creditworthiness

Requirements

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 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 plus 5 years of experience performing data analytics
A PhD 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
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonCondaAWSH2OSparkmachine learningdata analyticsrelational databaseslarge scale data analysisfeature engineering

Soft Skills

collaborationcommunicationproblem-solvinganalytical thinkingteamworkleadershiporganizational skillsadaptabilitycritical thinkingtime management