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Quantitative Analytics Lead Associate in Cleveland, OH at KeyBank

Date Posted: 1/7/2021

Job Snapshot

  • Employee Type:
  • Location:
    127 Public Square
    Cleveland, OH
  • Date Posted:

Job Description

For its Model Development group within the Finance organization, KeyCorp is looking for a Quantitative Analyst to build credit stress testing models for consumer credit portfolios. This individual will independently builds and performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. This individual will manage quantitative risk modeling projects, including econometric models for credit risk measurement and loss forecasting. Additional responsibilities include extensive engagement with line of business and model validation, and credit policy partners. The role requires a sound balance between analytical expertise and a sound understanding of consumer portfolio dynamics.

Under some supervision, the Lead Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to develop and validate predictive and machine-learning models for specific business needs. The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Often large in scope, projects undertaken by the Lead Quantitative Analytics Associate involve self-directed data analysis and model building in response to a problem statement proposed by a business partner. Success factors include: timely and effective completion of tasks assigned by manager with manager and/or peer guidance; exercising functional knowledge in analytical programming languages, data literacy, and model development; effective communication of insights and data to peers; and developing work autonomy and problem-solving.
  • 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
  • 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
  • DATA LITERACY - 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
      • Can build strong code controls and translate code into high-level commentary
    • Understanding of and ability to leverage:
      • Cloud-based computing
    • Distributed computing
    • Understanding of:
      • Model use, requirements, and implementation needs
      • Model Risk Management process and foundations
      • Testing for deterioration and model health
      • Scale and fundamental concepts of Machine Learning
      • How statistical measurements are used
      • Advanced data techniques for modeling frameworks
    • 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


KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to engaging a diverse workforce and sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.


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