Quant Analytics Sr Assoc

KeyBank; Town of Amherst (NY); On-site; USD 96,000 - 181,000; Full time

Job summary

KeyBank seeks a Senior Quantitative Analytics Associate to develop and validate predictive and machine-learning models for diverse business needs. You will design advanced models, leverage data insights, and communicate findings to partners, acting as a role model for the team.

The role requires leadership, strong programming skills, and the ability to translate complex analyses into actionable business recommendations. Location is Brooklyn, Ohio with corporate exposure and growth opportunities.

Qualifications

• Master’s degree (or equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or related quantitative disciplines with at least 3 years of relevant experience, or Bachelor’s degree with at least 5 years of relevant experience

Responsibilities

• Develop, design, and leverage advanced modeling approaches and standard techniques for data inference and performance; build and maintain models
• Interpret performance and reliability of assumptions; elevate where needed
• Lead conversations with partners, translate complex ideas into clear messages; mentor junior staff

Skills

Leadership

Communication

Critical Thinking

Data Literacy

Business Acumen

Education

Master’s degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or related quantitative discipline

Tools

SQL/NoSQL

Python/R/SAS

Cloud computing

Distributed computing

Job description

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.

Location

4910 Tiedeman Road, Brooklyn 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 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.

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

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 BUILDING & MAINTENANCE

• 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 elevate
  • 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 $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits 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: 10/09/2026 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, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. 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 [e-mail].