Quantitative Credit Data Analyst

KeyBank National Association; Cleveland (OH); Hybrid; USD 71,000 - 125,000; Full time

Benefits offered by this job

In-office presence with flexible work

Flex options for mobile roles

Job summary

KeyBank National Association in Cleveland is seeking a Quantitative Credit Data Analyst to support portfolio research and quantitative analysis across CPM. You will work with Treasury, Finance, Credit Risk, and business teams to deliver insights and actionable recommendations to senior leaders.

The role emphasizes building dashboards, reports, and monitoring tools using SQL, Python, SAS, R, Tableau, and Power BI, with a focus on data quality and process improvements in a hybrid in-office

Qualifications

• Bachelor’s degree in a quantitative field or related experience.
• 3+ years of experience in credit risk, portfolio management, or quantitative analytics.
• Strong analytical and problem-solving skills with large datasets.
• Experience SQL and Python/SAS/R for data querying and analysis.
• Experience creating dashboards with Tableau/Power BI.
• Strong communication skills for presenting to leadership.
• Attention to detail and ability manage multiple priorities.
• Advanced Excel and PowerPoint skills.

Responsibilities

• Lead quantitative analysis of portfolio performance, risk concentrations, and migration trends.
• Build insights from internal and external data sources and benchmarks.
• Improve CPM analytics via recalibration of tolerances and monitoring.
• Partner with Treasury, Finance, Credit Risk, and lines of business to support planning.
• Identify improvements in analytics processes, data quality, and automation.
• Develop and maintain dashboards and reporting for portfolio management and risk oversight.
• Present findings clearly to senior leadership and business partners.
• Perform additional duties or project work as assigned.

Skills

SQL

Python

SAS

R

Tableau

Power BI

Excel

PowerPoint

Analytical thinking

Communication skills

Education

Bachelor’s degree in a quantitative field

Tools

Tableau

Power BI

Excel

PowerPoint

Job description

The Quantitative Credit Data Analyst role within Credit Portfolio Management (CPM) supports portfolio research and quantitative analysis using internal and external data. The position partners across Treasury, Finance, Credit Risk, and line of business teams to deliver insights and actionable recommendations to senior leaders.

Key Responsibilities

• Lead quantitative analysis of portfolio performance, risk concentrations, emerging risks, and credit migration trends across Key’s commercial credit portfolios.
• Develop insights and recommendations using internal and external data sources, including portfolio performance data, economic indicators, industry trends, and peer benchmarking.
• Advance CPM analytical capabilities through continuous improvement initiatives, including annual recalibration of portfolio tolerances, limits, and related monitoring frameworks.
• Partner with Treasury, Finance, Credit Risk, and Line of Business stakeholders to support portfolio management, strategic planning, and risk management objectives.
• Identify opportunities to improve analytical processes, reporting capabilities, data quality, automation, and overall efficiency.
• Develop and maintain analytical reporting, dashboards, and monitoring tools used for portfolio management, risk oversight, and executive decision-making.
• Present analytical findings, portfolio assessments, and risk insights clearly and in an actionable format to business partners and senior leadership.
• Perform additional duties or project work as assigned.

Required Qualifications

• Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Data Science, Engineering, Finance, Economics) or other quantitative fields of study, or relevant experience.
• 3+ years of experience in credit risk, portfolio management, quantitative analytics, banking, financial services, or a related discipline.
• Strong analytical and problem-solving skills, including the ability to synthesize large and complex datasets and translate analysis into actionable insights.
• Experience using SQL and/or analytical programming languages such as Python, SAS, R, or equivalents for data querying, analysis, and transformation.
• Experience developing data visualizations, dashboards, and analytical reporting using Tableau, Power BI, or similar tools.
• Strong written and verbal communication skills for presenting findings and recommendations to business partners and senior leadership.
• Demonstrated attention to detail, intellectual curiosity, and the ability to manage multiple priorities while maintaining high accuracy.
• Advanced proficiency with Microsoft Excel and Microsoft PowerPoint.
• Knowledge of database concepts, data extraction techniques, process automation, and quantitative analytical methods.
• Ability to support development of analysts and less experienced team members through collaboration, coaching, and knowledge sharing.

Preferred Qualifications

• Experience in commercial banking, credit risk management, portfolio analytics, risk reporting, or financial services.
• Experience utilizing cloud-based analytical platforms, data warehouses, and modern data pipeline architectures.
• Experience supporting portfolio risk monitoring, concentration management, risk governance, or executive-level reporting.
• Knowledge of credit migration analysis, portfolio performance measurement, peer benchmarking, early warning indicators, industry risk assessment methodologies, or quantitative modeling techniques.

Technologies

• SQL
• Python
• SAS
• R
• Tableau
• Power BI
• Microsoft Excel
• Microsoft PowerPoint

Compensation and Benefits

• Base salary range: $71,000.00 - $125,000.00 annually.
• Eligibility for incentive compensation, which may include production, commission, and/or discretionary incentives.
• Placement within the pay range may vary based on skills, experience, and geographic location.
• Key has implemented an approach to employee workspaces that prioritizes in-office presence while providing flexible options when roles can be performed effectively in a mobile environment.

Location and Posting Details

• Cleveland, OH (hybrid)
• Job Posting Expiration Date: 11/14/2026
• #LI-Hybrid