Data Science innovation – with direction from leader, researches industry trends in data science of new tools, emerging algorithms, advanced platforms, and alternative data to enhance modeling effectiveness and efficiency.  Conducts use case testing for new tools/techniques/platforms/data and provides user input/feedback.

Model risk management – develops foundational knowledge on common model risks and related regulatory requirements; applies proper 1st line of defense controls during model development process to minimize model risk; creates comprehensive model governance documentation and archives model data, scripts, and results; collaborates with model risk management partners to complete model validation/auditing; completes remediation as required by model governance process.

Reports to: Manager or higher

Working Conditions/ Physical Requirements: Normal office environment

Direct Reports: None

Minimum Qualifications:

Degree Required: Bachelor’s Degree

Area of Study: Statistics, Mathematics, Engineering, Data Science, Economics, Computer Science, or another quantitative field

Years of Work Experience Required: 2 to 5 years

Type / focus of work experience required: Related work experience

Preferred Experience:

Degree Preferred: Master’s Degree, PhD

Area of Study: Statistics, Mathematics, Engineering, Data Science, Economics, Computer Science or another quantitative field