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 expertise 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 complex problem-solving 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 business problem statements. The role requires prioritizing multiple projects, meeting tight deadlines, and establishing a reputation as an effective and collaborative partner. Additionally, the ability to communicate technical theories, observations, and models to non-technical audiences is critical, as is connecting day-to-day work to the broader business strategy.

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 to anticipate process and procedural needs.
• Make continuous improvements to data procedures, including enhancing 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 with at least 6 years of relevant experience.

Skills

Data Literacy

• Understanding of best practices for capturing and retaining data.
• Knowledge of pros and cons of competing analysis methods.
• Experience leading by partnering with others to anticipate and understand process/procedural needs.
• Ability to lead information practices, policies, and procedures.
• 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.
• Experience with SQL/NoSQL and relationship data structures.
• Ability to select and retrieve data, including unstructured data retrieval, archival, and ETL processes.
• Advanced skills in Python, R, or SAS, including database management, efficient coding, and building strong code controls.
• Ability to translate code into high-level commentary.
• Understanding of 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 and 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 direct reports; assumes accountability; sought out for advice; proactively coaches and guides others; manages team integration; demonstrates executive presence.
• Partnering/Influencing: Ability to engage and partner at mid to senior leadership levels; established reputation as an effective and collaborative partner; coaches relationship-building skills; demonstrates managerial courage and persuasive influence.
• 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 aligned with 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 and challenging situations; 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.

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.