Quant Analytics Associate

Location:

4900 Tiedeman Road - Brooklyn, Ohio 44144-2302

The credit modeling process is critically important to KeyCorp’s capital planning and loss mitigation processes, as it impacts the credit loss provision and hence the financial reporting of the bank. The Quantitative Modeling and Advanced Analytics group within KeyCorp is looking for a Quantitative Associate to develop model and analytical approaches. The primary responsibility will be to apply advanced statistical modeling and computer science techniques to develop, validate, modify and test predictive credit models for specific business needs at an advanced level. This role requires a deep understanding of statistical modeling techniques, underlying loans and how they are impacted by both loan attributes as well as economic and financial environments. As part of the role, there will be a need for strong engagement with internal partners and assist senior modelers 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 analysis and modeling process.

ESSENTIAL JOB FUNCTIONS

·        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 such as daily transaction data

·        Partner with business to provide meaningful insights and solutions for complex analytic needs

·        Good communication skills to work with modelers, business partners and stakeholders to gather knowledge and implement solutions

·        Identify and employ best practices

REQUIRED QUALIFICATIONS

·        Bachelor’s degree in statistics, computer science, mathematics, economics, data sciences, or other quantitative disciplines and at least 0-2 years of relevant experience

·        Ability to understand and use statistical models in Python, R, SAS etc.

·        Track record of excellent time management and completion of complex projects

·        Strong communication ability, including working with highly technical staff from academia and business

·        Impeccable integrity, strong accountability, sound judgment, and strategic vision

PREFERRED QUALIFICATIONS

·        Master’s degree (or its equivalent) in statistics, computer science, mathematics, economics, data sciences, or other quantitative disciplines and at least 0-2 years of relevant experience

·        Understanding of economic environment and drivers of credit

·        Familiarity with Cloud Analytics (e.g., Google Cloud Platform, Azure, AWS) and Big Data

·        Familiarity with Tableau or other data visualizations platforms

·        Familiarity with Object Oriented Programming

EXPECTED COMPETENCIES

·        Critical Thinking / Problem Solving: Leverages critical thinking and business acumen to provide solutions to increasingly more complex problems; Understands impacts / intersections with other business partners / LOBs; Aware of potential pitfalls with each recommended solution; 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

 

Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment.  As a result, this role may be mobile or home based, which means you may work either at a home office or in a Key facility to perform your job duties.

 

A minimum of two days per week at a KeyBank office location is required

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $70,000 to $95,000 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.

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