Quantitative Analytics Lead Associate

KeyBank

Lead Quantitative Analytics Associate at KeyBank utilizing advanced mathematics and statistical analysis. Responsible for developing and validating predictive models for specific business needs.

Posted 7/13/2026full-timeBrooklyn • New York, Ohio • 🇺🇸 United StatesSenior💰 $71,000 - $125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analysis, including hypothesis testing and root-cause analysis, while leveraging advanced statistical methods and machine learning to inform business decisions. Proficient in creating data structures and transformations, with a strong understanding of model implementation and risk management.

Highest-signal resume keywords

Quantitative AnalysisHypothesis TestingMachine LearningSQL/NoSQLAdvanced Python/R/SAS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData StructuresData ControlsETLEfficient CodingModel Risk ManagementModel Health TestingData RetrievalCloud-Based ComputingTransformations

Soft Skills

Critical ThinkingCommunication

Tools & Technologies

Microsoft Office SuiteDatabases

Industry Keywords

Predictive ModelingData SciencesFinancial EngineeringEconomicsMathematics

Tech Stack

Tools & technologies

CloudETLNoSQLPythonSQL

About the role

Key responsibilities & impact

Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets with more autonomy
Support the working group by identifying types of information needed for analysis or to inform business questions
Create data structures/transformations to be leveraged by groups for analysis
Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need
Use critical thinking to use the right approach for each problem statement
Anticipate business needs and make continuous improvements to models and processes

Requirements

What you’ll need

Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines
at least 2 years of relevant experience; 1 with Master’s or PhD
Understanding of and ability to create data structures / transformations
Identify and capture different types of information for business needs or necessary for analysis
Data controls
Hypothesis testing / root-cause analysis
Leverage and anticipate considerations in implementation
Advanced Microsoft Office Suite
SQL/NoSQL Relationship data structure
Selecting and retrieving data including unstructured data retrieval, archival, and ETL
Databases
Advanced Python/R/SAS: Databases
Efficient coding
Build strong code controls and translate code into high-level commentary
Understanding of and ability to leverage cloud-based computing
Understanding of model use, requirements, and implementation needs
Model Risk Management process and foundations
Testing for deterioration and model health
Understanding of scale and fundamental concepts of Machine Learning
Ability to produce and identify information through statistical analysis
Effectively explain model insights to peers and analytics community
Identify preferred approach given the problem statement.

Benefits

Comp & perks

eligibility for incentive compensation which may include production, commission, and/or discretionary incentives
flexible options in circumstances where roles can be performed effectively in a mobile environment