Senior Quantitative Analytics Manager

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; Considers longer term KeyCorp strategy and priorities in recommending solutions
•    Communication: Superior written and verbal communication skills; delivers high quality written messages; coaches others; Can effectively translate and simplify complex technical concepts and language; Keeps team apprised of relevant LOB and bank-wide topics; Knows when to ensure transparency; Confident and comfortable presenting to all levels of the organization including at most senior levels; Recognized for executive presence, knows how and when to elevate the message