KeyBank · 1 day ago
Quant Analytics Lead Assoc
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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
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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
Understanding of and ability to leverage and anticipate considerations in implementation
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
Ability to build strong code controls and translate code into high-level commentary
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
Demonstrates critical thinking; analyzes, identifies and recommends appropriate solutions to moderately complex problems
Solid writing skills; can cohesively present and organize information in support of findings and recommendations
Demonstrates confidence in communicating a message (typically narrow in scope); can tell a compelling story with data and information
Benefits
Short-term incentive compensation
Deferred incentive compensation
Company
KeyBank
At KeyBank we’ve made a promise to our clients that they will always have a champion in us.
Funding
Current Stage
Late StageLeadership Team
Recent News
2023-08-28
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