Quantitative Analytics Associate

KeyBank • Brooklyn, OH

2d • 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 answer predictive and prescriptive questions, such as what may happen next and what actions to take. Projects may span multiple business segments and involve evaluating and testing existing data with substantial team support.

The role’s success factors include timely completion of manager-assigned tasks 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, with at least 1 year of relevant experience; 0 years of experience 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 that skill to inform business questions.
• Advanced Microsoft Office Suite skills, including navigation, shortcuts, and use and sharing of spreadsheet documents.
• Python, R, or SAS skills, including IDE navigation, shortcuts, 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.
• Find patterns or anomalies by building visualizations.
• Execute basic diagnostic testing under supervision, such as performance testing and assumption verification, and assess the impacts of limitations.
• Test, under supervision, the suitability and sufficiency of an approach, including representativeness.

Benefits

• Eligibility for incentive compensation, which may include production, commission, and/or discretionary incentives.
• Benefits for which the position is eligible are available via the employer’s benefits list.

What This Job Offers

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