Build, implement and maintain predictive models through their full lifecycle.
Identify patterns & trends in data, and provides insights to enhance business decision making.
Identify challenges and opportunities from client strategy discussions and taking ownership of solution.
Set up and monitor monthly model recalibration process.
Generate complex ad-hoc analyses combining disparate concepts or creating new approaches.
Design and create new analytic procedures & automation.
Review corporate model scoring QC.
Review corporate data transformation QC.

Requirements

MS/PHD in a quantitative discipline or BS in a quantitative discipline with commensurate experience
Regular SQL use for querying data
Experience programming with at least one language
Use of statistical software (e.g., R, Python)
Experience with Tableau (or other data visualization platform)
Experience with Excel
Financial or insurance industry experience strongly preferred
3-5 years of Database Marketing and Data Mining experience

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

predictive modelingSQLRPythondata visualizationTableauExceldata miningdatabase marketinganalytic procedures

Soft Skills

problem solvingownershipcommunicationanalytical thinkinginsight generation

Certifications

MSPhDBS in quantitative discipline