Quantitative Analytics Associate

KeyBank • Brooklyn, OH

1d • $69,000 - $105,000 • Hybrid

About The Position

Under direct supervision, the Quantitative Analytics Associate uses statistics, advanced mathematical techniques, and/or computer science to support the development and validation of predictive and machine-learning models for specific business needs. The role applies mathematical knowledge and analysis to address predictive and prescriptive questions. Projects may span multiple business segments and involve evaluating and testing existing data with substantial team support.

The associate completes manager-assigned tasks under significant supervision while building functional knowledge of analytical programming languages, data literacy, and model development. The role also develops communication skills, business acumen, critical thinking, and working relationships with the team. The position is based at 4910 Tiedeman Road, Brooklyn, Ohio. KeyCorp prioritizes in-office presence while offering flexible options when work can be performed effectively in a mobile environment; the posting is tagged hybrid.

Requirements

• Bachelor’s degree or equivalent in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or another quantitative discipline, and at least 1 year of relevant experience; 0 years of experience with a Master’s or PhD.
• Understanding of data wrangling, including documenting information and importing data from different formats.
• Understanding of descriptive statistics, random variables, common distributions, and outliers.
• Ability to consume, explore, and evaluate big data and use it to inform business questions.
• Advanced Microsoft Office Suite skills, including spreadsheet navigation, shortcuts, and document use and sharing.
• Python, R, or SAS skills, including IDE navigation, connecting to databases, using functions such as classes, variables, and lists, and working with program files, modules, and libraries.
• Familiarity with data leakage and training, testing, and validation sets for model building.
• Ability to perform basic diagnostic testing.
• Understanding of foundational statistical and measurement concepts, methods, and techniques.
• Understanding of the basic uses, scope, features, benefits, and risks of available modeling methods.

Responsibilities

• Conduct quantitative analysis on large data sets with manager and team support.
• Identify common data errors and assess their impact.
• Apply basic best practices for evaluating large data sets.
• Answer business questions through exploration and discovery.
• Build visualizations to find patterns or anomalies.
• Perform basic diagnostic testing under supervision, including performance testing and verification of assumptions and limitations.
• Test the suitability and sufficiency of an approach under supervision, including representativeness.

Benefits

• Eligible for incentive compensation, which may include production, commission, and/or discretionary incentives.
• Eligible for benefits; the posting directs applicants to a separate benefits list.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level