Senior Quantitative Analytics Manager

Location:
4900 Tiedeman Road – Brooklyn, Ohio 44144-2302
ABOUT THE JOB (JOB BRIEF)
The Senior Quantitative Analytics Manager is primarily responsible for developing and implementing cutting edge statistical models for loan and lease portfolios (both consumer and commercial) with focus on pricing, loss forecasting, scorecards, and marketing models. The role is expected to share best practices with consumer and commercial modeling teams and help in the implementation process. Technical excellence and speed of execution is a must for this role. The role will have two direct reports and the team is expected to grow over time. The Senior Quantitative Analytics Manager acts as a leader, strategic advisor and credible thought partner to senior / executive level business partners. Experience is banking is not necessary but is a plus.
ESSENTIAL JOB FUNCTIONS
Provide strategic consultation and thought leadership to senior / executive level business partners
Anticipate business partner needs
Drive the output of the team – ensure “executive ready” work product in alignment with business priorities
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
Provide solutions based on “connecting the dots”; leverage business insights to align, develop, and build holistic strategies and solutions that align with LOB priorities and consider knowledge of cross-LOB interdependencies
REQUIRED QUALIFICATIONS
Masters 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 bachelors 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
Influence / impact strategy for data sourcing; can anticipate emerging needs to be incorporated into strategy
Lead discussions about pros/cons of applications with senior leadership
Monitor industry trends and direction of data analysis technologies
Skills set
Strong statistical modeling background
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
Establish standards and best practices; forecast future modeling tools / techniques
Identify, employ, and evangelize emerging techniques from industry / research
Coach others on data modeling methods / techniques
Facilitate sessions for complex data models
Assess and understand risks; contingency plans
Communicate observations to senior executives
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