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 factors include demonstrating leadership through strong communication, addressing conflict, coaching others on technical skills, managing competing priorities, and presenting holistic analyses to answer partners’ problem statements. The role requires prioritizing multiple projects, meeting tight deadlines, establishing a reputation as a collaborative partner, and communicating technical theories and models to non-technical audiences. Additionally, it involves leveraging knowledge of strategy, business, and competition to connect the team’s work to the “bigger picture” and drive 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, recommending solutions 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 of data analysis by advocating for clearer data requirements.

Technology & Techniques

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

Model Building & Maintenance

Ability to:

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

Expected Competencies

• Leadership: Demonstrated leadership, including direct reports; assumes accountability; sought out for advice; proactively coaches and guides others; manages team integration; demonstrates executive presence.
• Partnering/Influencing: Engages and partners at mid to senior leadership levels; established reputation as a collaborative partner; coaches relationship-building skills; demonstrates managerial courage; influences others through persuasive skills.
• Business Acumen: Understands line of business (LOB) and KeyCorp strategy; leverages knowledge of competition to anticipate needs and make recommendations; contributes to LOB strategy.
• Critical Thinking/Problem Solving: Anticipates business partner needs; sees the “bigger picture”; advises leaders using critical thinking; sought out for perspective on challenges; makes informed decisions considering long-term strategy.
• Communication: Excellent writing skills; develops writing skills in others; delivers the right message at the right time; articulates broad implications; addresses conflict; strong presentation development; coaches others on effective messaging; comfortable presenting to senior levels with confidence and adaptability.

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, which may include 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.