127 Public Square - Cleveland, Ohio 44114
ABOUT THE JOB (JOB BRIEF)
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.
We are looking for a passionate candidate to work on the most challenging and exciting analytical problems at KeyBank. This person will be part of a new team which will act as an innovation hub creating analytical solutions using cutting edge techniques, such as machine learning, artificial intelligence and advanced statistical modeling.
He / She will partner with teams working across the client lifecycle from pre-approval, to originations, and to account management while leveraging industry leading tools, advanced models and big datasets including non-structured data.
This individual would need a firm grasp of emerging trends and concepts in the field of data science and able to communicate these in an effective manner to line of business leaders
ESSENTIAL JOB FUNCTIONS
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
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
Relationship data structure
Selecting and retrieving data including unstructured data retrieval, archival, and ETL
Can build strong code controls and translate code into high-level commentary
Understanding of and ability to leverage:
MODEL BUILDING & MAINTENANCE
Understands and can leverage:
Optimization techniques and supporting numerical analysis requirements in algorithms / models
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
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $65,625 to $144,375 annually depending on 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 click for a list of benefits for which this position is eligible.
KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category.
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 .
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.