Quantitative Analytics Associate - Controllership

Reposted 5 Days Ago
Be an Early Applicant
Brooklyn, OH
In-Office
68K-103K Annually
Junior
Fintech
The Role
Support credit loss forecasting models, coordinate with various teams, perform data analysis, and enhance reporting processes while ensuring compliance with financial standards and regulations.
Summary Generated by Built In

Location:

4900 Tiedeman Road, Brooklyn Ohio

JOB BRIEF (PURPOSE)

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 for use in CECL Allowance and Capital Stress Testing
  • 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
  • Working both independently and as part of cross-functional teams to perform business, data, and application analysis to implement 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
  • Proficiency in Python (e.g., NumPy, Pandas) or other Object-Oriented Programming language
  • Database querying and data transformation experience (e.g., Excel, BigQuery, DB2) 
  • Familiarity with 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 
  • 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)
  • Familiarity with ReactJS

COMPETENCIES/SKILLS

  • 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 

EQUIPMENT/SOFTWARE USED

Microsoft Office Suite, Python, Google Cloud Platform (GCP) and related tools (BigQuery, Cloud Storage, Looker Studio, etc.), VSCode, Tableau

#LI-KH1

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $68,000.00 - $103,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

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

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 02/23/2026 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, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

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 [email protected].



#LI-Hybrid

Top Skills

BigQuery
Db2
Excel
Google Cloud Platform
Google Looker Studio
Numpy
Pandas
Python
Tableau
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The Company
Cleveland, OH
16,053 Employees
Year Founded: 1949

What We Do

At KeyBank we’ve made a promise to our clients that they will always have a champion in us. To deliver on our promise, we’re committed to building a team of engaged employees who do the right thing for our clients and shareholders, and help them achieve financial wellness each and every day.

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