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KeyBank · 1 day ago

Quantitative Analytics Associate

United States

Full-time

Remote

Entry Level

$68K/yr - $103K/yr

1+ years exp

KeyBank is seeking a Quantitative Analytics Associate to perform independent validation and review of the bank's various risk models. This role involves ensuring models function properly and comply with regulatory requirements, while accurately identifying and measuring associated risks.

Banking

Responsibilities

Perform hands-on quantitative model validation/review under supervision. This includes testing the model's conceptual soundness, data accuracy, methodology, and ongoing performance through techniques, such as back-testing, benchmarking, sensitivity analysis, stress testing, etc

Provide an effective challenge throughout the model validation/review to ensure that models are robust, and all assumptions and limitations are justified

Present findings, weakness and/or observations identified from the validation/review to model developers/owners to ensure executable finding remediations

Prepare detailed validation reports and memos that document the validation approach, findings, and conclusions

Qualification

Quantitative modelingStatistical testingData handlingProgramming PythonProgramming RProgramming SQLProgramming SASAI/ML model validationCommunication skillsCritical thinkingLeadershipInterpersonal skills

Required

Bachelor's degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines

One year of relevant analytics or modeling experience, or a graduate degree in a related field

Experience in data handling, performing data transformations and data cleaning

Experience in statistical testing and root-cause analysis

Experience in traditional and AI/ML model development or validation, with a good understanding of quantitative modeling methods (including AI/ML algorithms) used for various risk predictive models

Proficiency in programming languages such as Python, R, SQL or SAS

Excellent written and verbal communication skills to clearly articulate complex technical findings to both technical and non-technical stakeholders