Lead Quantitative Analytics for Predictive Modeling

KeyBank; Brooklyn (OH); On-site; USD 71,000 - 125,000; Full time

Job summary

KeyBank is seeking a Lead Quantitative Analytics Associate to develop and validate predictive and machine-learning models. You will work under supervision on self-directed data analysis, leveraging statistics, advanced math, and analytical programming for business needs.

The role emphasizes communicating insights clearly, applying data-driven methods, and advancing model autonomy in a banking context.

Qualifications

• Bachelor's degree (or equivalent) in a quantitative field and at least 2 years of relevant experience; Master's/PhD preferred.
• Strong statistical, analytical, and data modeling capabilities.
• Experience communicating insights to analytics peers.

Responsibilities

• Conduct quantitative analysis including hypothesis testing on large data sets with increasing autonomy.
• Support analysis by creating data structures/transformations for business questions.
• Develop, maintain, and evaluate ML models addressing business needs.
• Apply critical thinking to select appropriate modeling approaches.
• Improve models and processes based on feedback and results.

Skills

Quantitative analysis

Hypothesis testing

Root-cause analysis

SQL/NoSQL

Python/R/SAS

Cloud computing

Distributed computing

Model development

Education

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

Job description

KeyBank is seeking a Lead Quantitative Analytics Associate to develop and validate predictive and machine-learning models. You will work under supervision on self-directed data analysis, leveraging statistics, advanced math, and analytical programming for business needs.

The role emphasizes communicating insights clearly, applying data-driven methods, and advancing model autonomy in a banking context.