Quantitative Analyst - Model Implementation

4900 Tiedeman Road, Brooklyn, OH, United States

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Location:

4900 Tiedeman Road - Brooklyn, Ohio 44144-2302

ABOUT THE JOB (JOB BRIEF)

As part of the Risk Modeling Enablement team within Finance, responsibilities for this position include, but are not limited to:

  • Supporting the implementation, testing, documentation, and on-going validation of credit loss forecasting models and non-models
  • Coordinating with Lines of Business, Data Owners, Risk Management, and Key Technology, Operations, and Services (KTOS) to ensure alignment with all activities impacting credit loss models
  • Creating and/or maintaining production environments for ongoing credit loss forecasting, including creation of process controls and documentation
  • Working both independently and as part of cross-functional teams to perform business, data, and application analysis to gather and document business requirements on a variety of reporting needs and strategic project initiatives

This role requires developing close relationships with the model development and reporting groups and understanding the impact of changing portfolio characteristics as well as economic and financial environments on model results. The position will require the ability to understand various statistical methodologies used to forecast credit losses, to complete analysis supporting critical business processes, and to understand and access various data sources, analytical platforms, and reporting platforms, including the use of cloud interfaces for programming and engineering.

ESSENTIAL JOB FUNCTIONS
  • In working with other teams within Finance, support orderly maintenance and development of a Google Cloud Platform (GCP) environment for model development and deployment

  • Assist with design of and implementation of production applications for credit loss modeling

  • Gather client requirements and translate to technical specifications; working closely with Risk Management Information Reporting (RMIR) and KTOS teams on changes to the production CECL environment, system conversions, quarterly change cycles, technical error resolution, production support, and other enhancements

  • Critical participation in annual Capital Plan Stress Tests, working closely with groups across the organization to produce and vet Credit Loss and Allowance forecasts

  • Perform data and process validation during development, testing, and production phases of various projects, including maintaining detailed records of development process

  • Communicate key points to respective stakeholders, with the appropriate level of detail for the relevant partners

  • Continue to evolve processes and use of technology with a focus on continuous improvement, leveraging new technologies, and identifying and implementing efficiencies; working with teammates and partners to document and ensure use of best coding practices

REQUIRED QUALIFICATIONS
  • Bachelor’s Degree (Math, Statistics, Data Analytics, Computer Science, Finance, Accounting or related degree preferred)

  • Two years of relevant accounting, finance, analytics, or modeling experience, or a graduate degree in a related field

  • Database querying and data transformation expertise (e.g., Excel, BigQuery, DB2) 

  • Proficiency in Python (e.g., NumPy, Pandas) or other Object-Oriented Programming language

  • Proficiency in building reporting dashboards, including through the use of Tableau, Google Looker Studio, or other similar tools

  • Experience dealing with complex and large data sets from multiple sources to support analytical processes

  • Excellent communication skills

  • Quantitative, analytical, problem solving, and decision making skills 

  • Proven execution/process skills in a rapidly changing environment

  • Detail-focused organizational skills required to coordinate and manage multiple tasks simultaneously to meet strict deadlines

PREFERRED QUALIFICATIONS
  • Experience with Git, and demonstrable coding best-practices

  • Familiarity with Cloud Analytics (e.g., Google Cloud Platform, Azure, AWS)

  • Experience with quantitative modeling or forecasting

  • Familiarity with Current Expected Credit Loss financial accounting standards

  • Experience with bank stress testing (e.g., CCAR, DFAST)

  • Database and Loan system knowledge (e.g., DSC\IL, CRR, CL3, Loan IQ, MSP, etc.)

  • Familiarity with ReactJS

EXPECTED COMPETENCIES
  • Critical Thinking / Problem Solving: Leverages critical thinking and business acumen to provide solutions to increasingly complex problems; Aware of potential pitfalls with each recommended solution; thoroughly vets and thinks through options before making a decision

  • Communication: Solid written and verbal communication skills; organizes material for brevity, persuasiveness, and impact; Effectively communicates key points to respective stakeholders with the appropriate level of detail; Proactively shares information beyond those at the table who may have a need to know; Comfortable in situations where conflict is present

  • Partnering / Influencing: Proven relationship building ability; Strong interpersonal skills; Sought out to by business partners and team members

  • Business Acumen: Understands key drivers of financial results and business impact; Developing understanding of how business works; Possesses intellectual curiosity

  • Commitment: Exhibits ability to work under pressure, discipline to meet deadlines, ability to multi-task and consistently demonstrates flexibility in a dynamic environment

SOFTWARE USED

  • Microsoft Office Suite

  • Python (Pandas, NumPy, SKLearn, Polars)

  • Google Cloud Platform (GCP) and related tools (BigQuery, Cloud Storage, Looker Studio, etc.)

  • VSCode

  • Tableau

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $80,000 to $85,000 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.

Please click here for a list of benefits for which this position is eligible.

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 primarily either at a home office or in a Key facility to perform your job duties.

Job Posting Expiration Date: 07/06/2025 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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.


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Category: Analyst Jobs

Tags: AWS Azure BigQuery Computer Science Data Analytics DB2 Engineering Excel Finance GCP Git Google Cloud Looker Mathematics ML models NumPy OOP Pandas Python Scikit-learn Statistics Tableau Testing

Perks/benefits: Flex hours Team events

Regions: Remote/Anywhere North America
Country: United States

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