KeyBank · 1 month ago
Quant Analytics Lead Assoc - Fraud
Brooklyn, OH
Full-time
Hybrid
Entry, Mid Level
$71K/yr - $122K/yr
2+ years expKeyBank is a national association providing banking services, and they are seeking a Lead Quantitative Analytics Associate to develop and validate predictive and machine-learning models for business needs. The role involves conducting quantitative analyses, supporting data structures, and anticipating business needs to improve models and processes.
Banking
Responsibilities
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 need and make continuous improvements to models and processes
Qualification
Required
Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 2 years of relevant experience; 1 with Master's or PhD
Understanding of and ability to create data structures / transformations
Understanding of and ability to identify and capture different types of information for business needs or necessary for analysis
Understanding of and ability to implement data controls
Understanding of and ability to perform hypothesis testing / root-cause analysis
Advanced Microsoft Office Suite
SQL/NoSQL knowledge including relationship data structure and selecting and retrieving data including unstructured data retrieval, archival, and ETL
Advanced Python/R/SAS knowledge including databases and efficient coding
Understanding of and ability to leverage cloud-based computing
Understanding of and ability to leverage distributed computing
Understanding of model use, requirements, and implementation needs
Understanding of Model Risk Management process and foundations
Understanding of testing for deterioration and model health
Understanding of scale and fundamental concepts of Machine Learning
Understanding of how statistical measurements are used
Understanding of advanced data techniques for modeling frameworks
Ability to produce and identify information through statistical analysis
Ability to effectively explain model insights to peers and analytics community
Ability to identify preferred approach given the problem statement
Company
KeyBank
At KeyBank we’ve made a promise to our clients that they will always have a champion in us.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Chris Gorman
Chairman, Chief Executive Officer, and President, KeyCorp
Holly Santoro
Executive Administrator to the Chairman & CEO
Recent News
2023-08-28
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