Lead Quantitative Analytics Strategist

KeyBank; Town of Amherst (NY); Hybrid; USD 71,000 - 125,000; Full time

Job summary

KeyBank is seeking a Lead Quantitative Analytics Associate in the United States to develop and validate predictive models using statistics, advanced math, and machine learning. You will work with data, build models, and provide insights to business partners, balancing autonomy with supervision.

Responsibilities include hypothesis testing, data structure design, and communicating model results. Expect a data-driven environment with opportunities to advance in analytics and risk management, with a

Qualifications

• Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 2 years of relevant experience; 1 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 needs and creating data structures/transformations for analysis
• Use statistical analysis and machine learning to develop, maintain, and implement models addressing business needs
• Apply critical thinking to select appropriate approaches for each problem statement
• Anticipate business needs and continuously improve models and processes

Skills

Leadership

Partnering / Influencing

Business Acumen

Critical Thinking / Problem Solving

Communication

Education

Bachelor's degree in a quantitative field

Tools

SQL/NoSQL

Python/R/SAS

Microsoft Office Suite

Job description

KeyBank is seeking a Lead Quantitative Analytics Associate in the United States to develop and validate predictive models using statistics, advanced math, and machine learning. You will work with data, build models, and provide insights to business partners, balancing autonomy with supervision.

Responsibilities include hypothesis testing, data structure design, and communicating model results. Expect a data-driven environment with opportunities to advance in analytics and risk management, with a