Senior Quantitative Analytics Architect

KeyBank; Brooklyn (OH); Hybrid; USD 96,000 - 181,000; Full time

Job summary

KeyBank in Ohio is hiring a Senior Quantitative Analytics Associate to build and validate predictive and machine‑learning models for strategic business needs. This role uses statistics, advanced mathematics, and analytical programming to deliver actionable insights that guide decision making.

You will partner with stakeholders to translate complex analyses into clear recommendations, lead modeling initiatives, and serve as a rising leader within the analytics team.

Qualifications

• Master's degree (or equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or related fields with 3+ years of relevant experience; or Bachelor's with 5+ years.
• Working knowledge of data structures and data management techniques.
• Ability to guide others in data analysis and translate results to business impact.

Responsibilities

• Use critical thinking to develop insights and deliver predictive analysis for business problems.
• Develop/ leverage advanced modeling approaches and data inference techniques.
• Identify business needs and obtain the right information.
• Communicate findings clearly to partners and link conclusions to business impact.
• Navigate model approval processes and implement best practices across the team.
• Mentor junior staff and contribute to model development across projects.

Skills

Statistics

Advanced modeling

Python/R/SAS

SQL/NoSQL

Education

Master's degree in statistics or related field

Bachelor's degree in statistics or related field

Tools

SQL

NoSQL databases

ETL

Excel

Job description

KeyBank in Ohio is hiring a Senior Quantitative Analytics Associate to build and validate predictive and machine‑learning models for strategic business needs. This role uses statistics, advanced mathematics, and analytical programming to deliver actionable insights that guide decision making.

You will partner with stakeholders to translate complex analyses into clear recommendations, lead modeling initiatives, and serve as a rising leader within the analytics team.