Lead Quant Analytics – Predictive Modeling & ML

KeyBank; Buffalo (NY); Hybrid; USD 71,000 - 125,000; Full time

Job summary

KeyBank is seeking a Lead Quantitative Analytics Associate to develop and validate predictive models using statistics, machine learning, and advanced analytics. The role emphasizes self-directed data analysis, model building, and communicating insights to business partners.

The position requires a bachelor’s in a quantitative field with at least 2 years of relevant experience (Master/PhD preferred) and hands-on skills in Python/R/SAS, SQL/NoSQL, and cloud or distributed computing.

Qualifications

• Bachelor's degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines with at least 2 years of relevant experience; 1 year with Master's or PhD.

Responsibilities

• Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets with more autonomy.
• Support the working group by identifying information needed for analysis and create data structures/transformations for analysis.
• Use statistical analysis and machine learning to develop, maintain, and implement models addressing business needs.
• Use critical thinking to select the right approach for each problem statement.
• Anticipate business needs and continuously improve models and processes.

Skills

Hypothesis testing

Root-cause analysis

Statistical analysis

Machine learning

Data literacy

Analytical programming

Education

Bachelor's degree in statistics / math / econ / financial engineering / data sciences

Master's or PhD preferred

Tools

SQL/NoSQL

Python/R/SAS

Cloud computing

Distributed computing

Job description

KeyBank is seeking a Lead Quantitative Analytics Associate to develop and validate predictive models using statistics, machine learning, and advanced analytics. The role emphasizes self-directed data analysis, model building, and communicating insights to business partners.

The position requires a bachelor’s in a quantitative field with at least 2 years of relevant experience (Master/PhD preferred) and hands-on skills in Python/R/SAS, SQL/NoSQL, and cloud or distributed computing.