Quant Analytics Associate

KeyBank • Cleveland, OH

2d • $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. Projects may span multiple business segments and involve evaluating and testing existing data with substantial team support.

Success in the role includes completing manager-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 relationships with the working team.

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.
• Understand data wrangling, including documenting information and importing data from different formats.
• Understand descriptive statistics, random variables, common distributions, and outliers.
• Be able to consume, explore, and evaluate big data to inform business questions.
• Have advanced Microsoft Office Suite skills, including navigating spreadsheets, using shortcuts, and sharing spreadsheet documents.
• Have Python, R, or SAS skills, including IDE navigation, connecting to databases, using functions, classes, variables and lists, and working with program files, modules, and libraries.
• Be familiar with data leakage and the use of training, testing, and validation sets in model building.
• Be able to perform basic diagnostic testing.
• Understand foundational statistical and measurement concepts, methods, and techniques.
• Understand 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 identify patterns or anomalies.
• Perform basic diagnostic testing under supervision, including performance testing and verification of assumptions and limitations.
• Test the suitability and sufficiency of approaches under supervision, including representativeness.

Benefits

• Eligible for incentive compensation, which may include production, commission, and/or discretionary incentives.
• Eligible for the benefits listed by the employer.

What This Job Offers

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