About KeyBank

KeyBank is a leading national bank committed to helping communities thrive. With a rich history of innovation in financial services, KeyBank offers career opportunities in banking, analytics, and technology. Join our Cleveland-area team and contribute to solutions that drive business success and customer satisfaction across the United States.

Position Summary

The Quantitative Analytics Lead Associate at KeyBank plays a pivotal role in leveraging advanced statistics, machine learning, and data science to solve complex business challenges. Based at our Brooklyn, Ohio location (4910 Tiedeman Road), this mid-level position involves developing predictive models, conducting sophisticated data analysis, and providing actionable insights under moderate supervision. Ideal for quantitative professionals passionate about banking analytics, data modeling, and machine learning careers in Cleveland, OH.

Key Responsibilities

• Perform quantitative analysis, hypothesis testing, and root-cause analysis on large datasets with increasing autonomy
• Build and validate predictive and machine learning models addressing key business questions like 'What will happen next?'
• Create data structures, transformations, and leverage SQL/NoSQL for efficient data retrieval and ETL processes
• Utilize advanced Python, R, or SAS for model development, ensuring robust code controls and documentation
• Anticipate business needs, monitor model performance, and implement continuous improvements
• Communicate complex analytical findings and model insights to peers, stakeholders, and business partners

Required Qualifications

• Bachelor’s degree in statistics, mathematics, economics, financial engineering, data science, or related field; Master’s or PhD preferred with reduced experience requirement
• 2+ years of relevant experience in quantitative analytics (1+ year with advanced degree)
• Proficiency in SQL/NoSQL, advanced Python/R/SAS, and cloud/distributed computing
• Strong understanding of model risk management, machine learning fundamentals, and statistical techniques
• Demonstrated data literacy, critical thinking, and ability to explain technical concepts to non-technical audiences

Key competencies include leadership potential, business acumen in banking, problem-solving, and effective communication skills.

Why Join Us

At KeyBank, you'll work on impactful projects in a supportive environment that fosters professional growth. Enjoy competitive pay, comprehensive benefits, and opportunities to advance in quantitative analytics roles. Be part of a team driving innovation in financial services. Apply now for Quantitative Analytics Lead Associate jobs in Ohio and elevate your career in data-driven banking.