Quantitative Analytics Associate

KeyBank • Brooklyn, OH

12h • 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 advanced mathematical knowledge and analysis to answer predictive and prescriptive questions. Projects may span multiple business segments and involve evaluation and testing of existing data, with substantial team support.

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

Requirements

• Bachelor’s degree or equivalent in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or another quantitative discipline, with at least 1 year of relevant experience; 0 years with a Master’s or PhD.
• Understanding of data wrangling, including information documentation 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 these skills to inform business questions.
• Advanced Microsoft Office Suite navigation, including shortcuts and use and sharing of spreadsheet documents.
• Python, R, or SAS skills, including IDE navigation, shortcuts, connecting to databases, using programming constructs such as classes, variables, and lists, and working with program files, modules, and libraries.
• Familiarity with data leakage and training, testing, and validation sets in 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.
• Developing communication, business acumen, critical thinking, interpersonal, and relationship-building skills; able to recognize when issues should be escalated.

Responsibilities

• Conduct quantitative analysis on large data sets with manager and team support.
• Identify common data errors and assess their impact.
• Employ basic best practices for evaluating large data sets.
• Answer business questions through exploration and discovery.
• Build visualizations to identify patterns or anomalies.
• Execute basic diagnostic testing under supervision, such as performance testing and assumption verification, and assess the impacts of limitations.
• Test the suitability and sufficiency of analytical approaches under supervision, including representativeness.

Benefits

• Eligible for incentive compensation, which may include production, commission, and/or discretionary incentives.
• Eligible for benefits; specific benefits are not listed in the posting.

What This Job Offers

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