Quant Analytics Mgr.

Location: 4910 Tiedeman Road, Brooklyn, Ohio

About the role

The Quantitative Analytics Manager leads the development and validation of predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science. This role leverages advanced mathematical knowledge, analysis, partnerships, and business acumen to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?” Projects are often broad in scope across multiple business segments and involve guiding a team or project through solving business problems using statistics, best practices, emerging techniques, and quantitative tools.

Success in this role includes demonstrating leadership through strong communication, addressing conflict, coaching others on technical skills, managing competing priorities, and presenting holistic analyses to answer business problem statements. The role also involves prioritizing multiple projects, meeting tight deadlines, establishing a reputation as a collaborative partner, and communicating technical theories and models to non-technical audiences. Additionally, the manager connects day-to-day work to the broader business strategy and drives efficiency in solution delivery.

Responsibilities

• Create and leverage models, inferential statistics, and prescriptive analysis to proactively solve business problems, answering “What will happen and what should we do about it?”
• Address large, complex problems with broad implications, providing recommendations based on context, connections, and conclusions.
• Review deliverables and proactively coach others on approach and work product.
• Lead and evangelize best practices for capturing and retaining data.
• Coordinate with data stewards and anticipate process/procedure needs.
• Make continuous improvements to data procedures, including data efficiency.
• Recommend the best analysis method for each situation.

Requirements

• Master’s degree (or equivalent) 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 (or equivalent) in the same fields and at least 6 years of relevant experience.

Skills

Data Literacy

Understanding of:

• Best practices for capturing and retaining data.
• Pros and cons of competing analysis methods.

Experience leading by:

• Partnering with others to anticipate and understand process/procedure needs.
• Setting standards and expectations for data analysis tools and techniques, ensuring compliance.
• Promoting increased efficiency in data analysis by advocating for clearer data requirements.

Technology & Techniques

• Advanced proficiency in Microsoft Office Suite.
• SQL/NoSQL and relationship data structures.
• Selecting and retrieving data, including unstructured data retrieval, archival, and ETL.
• Databases and advanced Python/R/SAS, including efficient coding, strong code controls, and translating code into high-level commentary.
• Understanding and ability to leverage cloud-based computing and distributed computing.

Model Building & Maintenance

Ability to:

• Establish standards and best practices for modeling and forecast future modeling tools/techniques.
• Identify, employ, and evangelize emerging techniques from industry/research.
• Coach others on data modeling methods and techniques.
• Facilitate sessions for complex data models.
• Assess and understand risks, including developing contingency plans.
• Communicate observations to senior executives and translate technical observations for non-technical audiences.

Expected Competencies

• Leadership: Demonstrated leadership, including managing direct reports, assuming accountability, coaching others, and integrating activities within the team. Demonstrates executive presence and contributes to conversations.
• Partnering/Influencing: Ability to engage and partner at mid-to-senior leadership levels, with a reputation as an effective and collaborative partner. Coaches relationship-building skills and demonstrates managerial courage.
• Business Acumen: Understands line-of-business and KeyCorp strategy, leverages knowledge of competition to anticipate needs, and contributes to strategy.
• Critical Thinking/Problem Solving: Anticipates business partner needs, sees the “bigger picture,” and advises leaders on informed decisions. Sought out for perspective on tackling challenges.
• Communication: Excellent writing and presentation skills, including coaching others. Adapts messaging for the right audience and channel, addresses conflict, and presents confidently to senior levels.

Pay

This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 annually. Placement within the pay range may differ based on skills, experience, and geographic location. Compensation also includes eligibility for incentive compensation, such as production, commission, and/or discretionary incentives.

Benefits

This role is eligible for a comprehensive benefits package. For a full list of benefits, please click here.

Schedule

Key has implemented an approach to employee workspaces that prioritizes in-office presence while providing flexible options where roles can be performed effectively in a mobile environment.