Senior Quant Analytics Lead – ML & Data Science

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

Job summary

KeyCorp is seeking a Lead Quantitative Analytics Associate to develop and validate predictive models using statistics, advanced mathematics, and data science. The role involves self-directed data analysis, model building, and communicating insights to business partners in a hybrid work environment.

The ideal candidate has a statistics/mathematics/economics/data science background with 2+ years of relevant experience (master’s/PhD preferred) and strong Python/SQL/NoSQL skills to solve business

Qualifications

• Bachelor’s degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines.
• 2+ years of relevant experience; 1 with Master’s or PhD.
• Strong knowledge of statistics, ML, and data science concepts.
• Experience with Python, SQL/NoSQL, and data transformations.

Responsibilities

• Conduct quantitative analysis on large data sets to support business needs.
• Develop and validate predictive and machine-learning models.
• Communicate insights and results to business partners and analytics teams.
• Continuously improve models and processes.

Skills

Statistics

Machine Learning

Python

SQL/NoSQL

Data Visualization

Hypothesis Testing

Education

Bachelor's degree in statistics / mathematics / economics / data science

Job description

KeyCorp is seeking a Lead Quantitative Analytics Associate to develop and validate predictive models using statistics, advanced mathematics, and data science. The role involves self-directed data analysis, model building, and communicating insights to business partners in a hybrid work environment.

The ideal candidate has a statistics/mathematics/economics/data science background with 2+ years of relevant experience (master’s/PhD preferred) and strong Python/SQL/NoSQL skills to solve business