Senior Quantitative Analytics Manager

Senior Quantitative Analytics Manager page is loaded## Senior Quantitative Analytics Manager locations:
Cleveland, OH:
Remote, United Statestime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
January 6, 2026 (27 days left to apply) job requisition :
R-36514
*
* Location:

** 127 Public Square, Cleveland Ohio
** ABOUT THE JOB (JOB BRIEF)
** The Senior Quantitative Analytics Manager has the key responsibility of advancing quantitative modeling capabilities and driving innovation in analytics. Reporting directly to the Head of Modeling and Analytics, this role is responsible for setting the standard for modeling practices and across various domains including credit loss modeling, risk rating, and scorecard modeling.
** ESSENTIAL JOB FUNCTIONS*
* • Deep statistical knowledge and ability to fast prototype using R/Python  
• Lead modeling work and help design best practices in modeling and analytics   
• Influence / impact strategy for data sourcing  
• Anticipate emerging needs; identify industry data trends and technologies  
• Proactively coach and develop others on building technical skills  
• Promote the group and their capabilities to stakeholders  
• Effectively collaborate and partner at all levels of the organization; guides, advises, challenges, and influences to drive organizational impact
** 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 6 years minimum 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 7 years of relevant experience.
** DATA LITERACY*
* • Ability to:  o    Influence / impact strategy for data sourcing; can anticipate emerging needs to be incorporated into strategy  o    Lead discussions about pros/cons of applications with senior leadership  o    Monitor industry trends and direction of data analysis technologies
** TECHNOLOGY & TECHNIQUES*
* • Advanced Microsoft Office Suite  
• Ability to leverage Gen AI for modeling   
• Advanced Python/R/SAS:  o    Databases  o    Efficient coding  o    Can build strong code controls and translate code into high-level commentary  
• Understanding of and ability to leverage:  o    Cloud-based computing  o    Distributed computing  
** MODEL BUILDING*
* • Ability to:  o    Establish standards and best practices; forecast future modeling tools / techniques  o    Identify, employ, and evangelize emerging techniques from industry / research  o    Coach others on data modeling methods / techniques  o    Facilitate sessions for complex data models  o    Assess and understand risks; contingency plans  o    Communicate observations to senior executives  o    Translate technical observations to a non-technical audience
** EXPECTED COMPETENCIES*
* • Leadership:
Typically manages team of professionals;
Resources and role model for broad team, beyond direct reports;
Manages integration of activities within or outside of team;
Promotes the group and their capabilities to stakeholders;
Provides thought leadership  
• Partnering / Influencing:
Considered a strategic advisor to senior and executive level business partners;
Able to effectively collaborate and partner at all levels of the organization;
Sought after as credible thought leader;
Leverages executive presence / credibility to guide, advise, challenge, and influence at all levels of the organization;
Drives organizational impact; develops this skill in others  
• Business Acumen:
Possess an integrated, cross-functional perspective based on understanding of the business;
Aware of leverages industry best-practices;
Has the ability to teach or coach where there are gaps in business acumen;
Provides solutions based on knowledge of cross-LOB interdependencies  
• Critical Thinking / Problem Solving:
Drives cross-functional and enterprise wide solutions;
Takes a systematic approach to “connecting the dots”;
Proactively solicits others to gain an understanding of impacts and intersections;
Co…