Quant Analytics Assoc.

KeyBank • Brooklyn, OH

3d • $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 advanced mathematical knowledge and analysis to answer predictive and prescriptive questions, such as what may happen next and what actions to take. Projects can span multiple business segments and involve evaluating and testing existing data, with substantial team support.

Success in this position includes completing assigned tasks effectively and on time under significant supervision; building functional knowledge of analytical programming languages, data literacy, and model development; developing communication skills, business acumen, and critical thinking; and establishing working relationships with the team.

The position is based at 4900 Tiedeman Road, Brooklyn, Ohio. Key prioritizes in-office presence while providing flexible options when roles 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, plus 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.
• Use 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 analytical approach under supervision, including whether data is representative.

Benefits

• Eligible for incentive compensation, which may include production, commission, and/or discretionary incentives.
• The job posting refers applicants to a separate list of benefits for which the position is eligible.

What This Job Offers

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