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Senior Quantitative Analytics Associate - Model Monitoring in Various at KeyBank

Date Posted: 11/24/2020

Job Snapshot

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Job Description

For its quantitative modeling and analytics group within the Finance organization, KeyCorp is looking for a Senior Quantitative Associate to develop model performance monitoring and testing frameworks for predictive models. This individual independently builds and performs qualitative and quantitative assessments for all components of the models, including theoretical aspects, model design, model performance, and data quality and integrity. This will require developing appropriate frameworks and processes, which can be automated, utilizing ETL to complete analyses with visualizations in Tableau.

This individual will manage model monitoring projects for econometric, credit risk, and other types of statistical models, as well as establish and communicate conclusions on strengths and limitations of the models.

The Senior 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 at an advanced level. The Senior 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?”. Projects undertaken by the Senior Quantitative Analytics Associate are often broad in scope across multiple business segments and involve model building / maintenance and “connecting the dots” between analyses, conclusions, partner needs, and/or strategy. Success factors include: designing advanced modeling approaches and developing / modifying existing models to meet changing business needs or in response to trends and strategy; exercising functional knowledge in analytical programming languages, data literacy, and model development to deliver predictive analysis to inform business problems; leading conversation with partners, delivering the right message and translating complex theories and ideas into easy-to-understand language; and serving as an emerging leader and role model across team.
  • Use critical thinking to develop insights and deliver predictive analysis that answers business problems related to “what will happen next?”
  • Develop, design, and/or leverage advanced modeling approaches, standard techniques for data inference and performance, and algorithms / models
  • Identify and anticipate business need; obtain the right information
  • Deliver the right message to partners using past trends to predict future behavior and linking conclusions based on analyses to business impact
  • Navigate model approval process as needed
  • Make process improvement suggestions
  • Be an emerging leader across the team: Serve as a role model to others; provide input to work product of junior staff; Help others to develop, publish, and customize models
  • Identify and employ best practices
  • Master’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of relevant experience; or Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience
    • Working knowledge of:
      • Different types of data and techniques for managing these data structures
    • Ability to:
      • Assist / guide others in information retention, coordination with data stewards, and anticipation of process/procedure needs
      • Link conclusions based on data analysis to business impacts
      • Define processes for integrating and repurposing data analyses
    • 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
    • Understands and can leverage:
      • Optimization techniques and supporting numerical analysis requirements in algorithms / models
    • Ability to:
      • Interpret performance and reliability of assumptions; identify when to escalate
      • Leverage and lead the design of advanced modeling approaches
      • Develop / design standard techniques for data inference and performance perspectives
      • Determine use requirements based on business processes
    • Identify and employ best practices in implementation

  • Relational databases and SQL programming, with a preference for ETL experience
  • Experience with creating Tableau dashboards and visualizations
  • Working knowledge of SAS or other advanced statistical/econometric analysis software (e.g. R, Python)
  • Financial modeling in mathematical/symbolic terms
  • Ability to analyze complex financial instruments, create spreadsheets and write code to facilitate the analysis
  • Proficiency in the use of Microsoft Office, specifically Excel and PowerPoint
  • The ability to understand generally accepted accounting principles


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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