About

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Role Description

The Quantitative Analytics Manager is primarily responsible for leading the development and validation of predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science.

• Leverages advanced mathematical knowledge, analysis, partnerships, and business knowledge to provide solutions to predictive and prescriptive questions.
• Projects are often broad in scope across multiple business segments and involve guiding a team and/or project.
• Success factors include:
  • Demonstrating leadership through strong communication skills.
  • Addressing conflict and coaching others on developing technical skills.
  • Managing competing priorities and presenting holistic analyses.
  • Establishing a reputation as an effective and collaborative partner.
  • Communicating technical theories to a non-technical audience.
  • Connecting day-to-day work to the bigger picture and driving efficiency in solution delivery.

Qualifications

• Master’s degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or
• Bachelor’s degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience.

Requirements

• Understanding of best practices for capturing/retaining data.
• Pros and cons of competing analysis methods.
• Experience leading by partnering with others to anticipate and understand needs.
• Leading information practices, policies, and procedures.
• Setting standards and expectations for data analysis tools and techniques.
• Promoting increased efficiency of data analysis by advocating clearer data requirements.

Technology & Techniques

• Advanced Microsoft Office Suite.
• SQL/NoSQL Relationship data structure.
• Selecting and retrieving data including unstructured data retrieval, archival, and ETL.
• Advanced Python/R/SAS: Databases.
• Efficient coding and strong code controls.
• Understanding of cloud-based computing and 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; develop contingency plans.
• Communicate observations to senior executives.
• Translate technical observations to a non-technical audience.

Expected Competencies

• Leadership: Demonstrated leadership; assumes accountability for their work; proactively coaches and guides others.
• Partnering / Influencing: Ability to engage and partner at mid to senior leadership levels; established reputation as an effective and collaborative partner.
• Business Acumen: Understands LOB and KeyCorp strategy; leverages knowledge of competition to anticipate needs.
• Critical Thinking / Problem Solving: Anticipates business partner needs; advises leaders to make informed decisions.
• Communication: Excellent writing skills; develops writing skills in others; articulates broad implications of messages.

Compensation and Benefits

This position is eligible to earn a base salary in the range of $120,000 to $145,000 annually depending on location and 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.

Key has implemented a role-based Mobile by Design approach to our employee workspaces, providing flexible options for roles which can be performed effectively in a mobile environment.