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This exciting role is at the intersection of Data Science and Environment Analysis. The Climate Risk modeling process is foundational to KeyCorp’s commitment to transforming to an environmentally responsible bank. This risk management program produces outcomes that help inform the bank’s decisions and strategies. The Risk Modeling and Analytics group within KeyCorp is looking for a Data Scientst to develop Climate Risk models. The primary responsibility will be to apply advanced statistical modeling, machine learning and artificial intelligence to develop, validate, modify and test predictive models at an advanced level. This role requires a deep understanding of statistical modeling techniques and how certain loan portfolios (e.g., commercial loans, real estate loans, etc.) are impacted by both loan attributes as well as physical and transition risks as they relate to climate. As part of the role, there will be a need for strong engagement with internal partners and taking lead on numerous initiatives. Finally, results and other analyses will be shared with various business executives to gain insights into the portfolio and share foresights and conclusions from the modeling and analytics.

• Develop, design, and/or leverage advanced modeling approaches, standard techniques for data inference and performance, and sophisticated statistical models
• Perform complex data discovery utilizing AI and machine learning on large scale data lakes
• Partner with business to provide meaningful insights and solutions for complex analytic needs
• Deliver the message to partners using past trends to predict future behavior and link conclusions based on analyses to business impact
• Communicate with modelers, business partners and stakeholders to gather knowledge and implement solutions
• Identify and employ best practices

• Master’s degree (or its equivalent) in statistics, mathematics, economics, data sciences, or other quantitative disciplines and at least 1-2 years of relevant experience; or Bachelor’s degree (or its equivalent) and at least 3 years of relevant experience 
• Knowledge of statistics/econometrics and strong analytical ability
• Ability to understand and develop statistical models in Python, R, SAS etc
• Proficiency in the use of Microsoft Office, with more advanced experience in Excel
• Strong data management skills
• Track record of excellent time management and completion of complex projects
• Strong communication, ability to work with highly technical staff from academia and business; Ability to work well in a team environment
• Impeccable integrity, strong accountability, sound judgment, and strategic vision

• Familiarity with Climate Risk (Carbon emissions, Physical Risks, Transition Risks, etc.)
• Familiarity of the Commercial and Industrial Lending (Institutional Banking, Middle Market etc.) and Real Estate portfolios
• Understanding of drivers and predictors of deriving expected loss as well as knowledge of the banking sector in general
• Familiarity with Cloud Analytics (e.g., Google Cloud Platform, Azure, AWS)
• Familiarity with Current Expected Credit Loss (CECL) financial accounting standards
• Familiarity with Tableau or other data visualizations platforms

• Leadership: Emerging leader across team; Provides direction/mentorship to interns
• Partnering / Influencing: Proven relationship building ability; Strong interpersonal skills; Can participate in conversation with partners in the business, technology, etc.; Developing comfort with influencing and consulting typically within and across team
• Business Acumen: Understands assigned LOB strategy; Possesses intellectual curiosity; Understands key drivers of financial results and business impact
• Critical Thinking / Problem Solving: Leverages critical thinking and business acumen to provide solutions to increasingly more complex problems; thoroughly vets and thinks through options before making a decision
• Communication: Strong writing skills; organizes material for brevity, persuasiveness, and impact; Effectively communicates key points to respective stakeholders, with the right amount of detail; Proactively shares information beyond those at the table who may have a need to know; Comfortable in situations where conflict is present; Demonstrated presentation development and delivery skills; Ability to create presentations that include the right data / information and tell the right story

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COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $85,000 to $100,000 annually depending on 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. Please click here for a list of benefits for which this position is eligible.

KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.