KeyBank
Location
Location: 127 Public Square, Cleveland Ohio
About the Job (Job Brief) The Senior Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to 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 (including but not limited to Market Risk/Treasury/Liquidity, Credit Risk, Compliance Risk, Fraud, etc.) and involve model building / maintenance and “connecting the dots” between analyses, conclusions, partner needs, and/or strategy. Success factors include: evaluating advanced models to meet changing business needs or in response to trends and strategy; exercising functional knowledge in analytical programming languages, data literacy, and model validation 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.
Responsibilities
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
Required Qualifications
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
Data Literacy
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
Technology & Techniques
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
Model Validation
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
Expected Competencies
Leadership:
Emerging leader across team; Role model to others – may coach and develop; Provides direction/mentorship to junior staff
Partnering / Influencing:
Proven relationship building ability; Strong interpersonal skills; Can lead the conversation with partners in the business, technology, etc.; Sought out to by business partners and team members; May coach and develop relationship building skills in others; Developing comfort with influencing and consulting typically with mid-level leaders
Business Acumen:
Understands assigned LOB strategy; Knows our competition and industry; Possesses intellectual curiosity; Understands key drivers of financial results and business impact; Aware of the competitive environment
Critical Thinking / Problem Solving:
Leverages critical thinking and business acumen to provide solutions to increasingly more complex problems; Understands impacts / intersections with other business partners / LOBs; Aware of potential pitfalls with each recommended solution; thoroughly vets and thinks through options before making a decision
Communication:
Strong writing skills; organizes material for brevity, persuasiveness, and impact; Effectively communicates key points to respective stakeholders, with the right amount of detail; Proactively shares information beyond those at the table who may have a need to know; Comfortable in situations where conflict is present; Demonstrated presentation development and delivery skills; Ability to create presentations that include the right data / information and tell the right story
Compensation and Benefits This position is eligible to earn a base salary in the range of $100,000 to $130,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance.
Please see the benefits list for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 10/26/2025
KeyCorp is an Equal Opportunity Employer committed to 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.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
# LI-Remote
#J-18808-Ljbffr
About the Job (Job Brief) The Senior Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to 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 (including but not limited to Market Risk/Treasury/Liquidity, Credit Risk, Compliance Risk, Fraud, etc.) and involve model building / maintenance and “connecting the dots” between analyses, conclusions, partner needs, and/or strategy. Success factors include: evaluating advanced models to meet changing business needs or in response to trends and strategy; exercising functional knowledge in analytical programming languages, data literacy, and model validation 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.
Responsibilities
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
Required Qualifications
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
Data Literacy
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
Technology & Techniques
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
Model Validation
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
Expected Competencies
Leadership:
Emerging leader across team; Role model to others – may coach and develop; Provides direction/mentorship to junior staff
Partnering / Influencing:
Proven relationship building ability; Strong interpersonal skills; Can lead the conversation with partners in the business, technology, etc.; Sought out to by business partners and team members; May coach and develop relationship building skills in others; Developing comfort with influencing and consulting typically with mid-level leaders
Business Acumen:
Understands assigned LOB strategy; Knows our competition and industry; Possesses intellectual curiosity; Understands key drivers of financial results and business impact; Aware of the competitive environment
Critical Thinking / Problem Solving:
Leverages critical thinking and business acumen to provide solutions to increasingly more complex problems; Understands impacts / intersections with other business partners / LOBs; Aware of potential pitfalls with each recommended solution; thoroughly vets and thinks through options before making a decision
Communication:
Strong writing skills; organizes material for brevity, persuasiveness, and impact; Effectively communicates key points to respective stakeholders, with the right amount of detail; Proactively shares information beyond those at the table who may have a need to know; Comfortable in situations where conflict is present; Demonstrated presentation development and delivery skills; Ability to create presentations that include the right data / information and tell the right story
Compensation and Benefits This position is eligible to earn a base salary in the range of $100,000 to $130,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance.
Please see the benefits list for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 10/26/2025
KeyCorp is an Equal Opportunity Employer committed to 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.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
# LI-Remote
#J-18808-Ljbffr