Quantitative Credit Data Analyst

Quantitative Credit Data Analyst

Full-Time 58540 - 71548 £ / year (est.) Home office (partial)
K

At a Glance

  • Tasks: Lead quantitative analysis and develop insights for credit portfolio management.
  • Company: KeyCorp, a supportive and inclusive financial services organisation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Join a dynamic team with a commitment to innovation and continuous improvement.
  • Why this job: Make a real impact on credit risk decisions and portfolio performance.
  • Qualifications: Bachelor's degree in a quantitative field and 3+ years of relevant experience.

The predicted salary is between 58540 - 71548 £ per year.

JOB BRIEF (PURPOSE)

Credit Portfolio Management (CPM) is Credit Risk’s centralized analytics area, partnering with key stakeholders throughout the Bank to strengthen Credit decision-making, portfolio risk management, and strategic planning.

This role is responsible for leading quantitative analysis and portfolio research efforts, developing insights from internal and external data, and communicating actionable recommendations to senior leaders regarding emerging risks, portfolio performance, industry trends, and credit migration dynamics.

ESSENTIAL JOB FUNCTIONS

  • Lead quantitative analysis of portfolio performance, risk concentrations, emerging risks, and credit migration trends across Key's commercial credit portfolios.
  • Develop insights and recommendations through analysis of internal and external data sources, including portfolio performance data, economic indicators, industry trends, and peer benchmarking.
  • Lead efforts to advance CPM's analytical capabilities through continuous improvement initiatives, including the 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.
  • Proactively identify opportunities to improve analytical processes, reporting capabilities, data quality, automation, and overall efficiency.
  • Develop and maintain analytical reporting, dashboards, and monitoring tools that support portfolio management, risk oversight, and executive decision-making.
  • Present analytical findings, portfolio assessments, and risk insights to business partners and senior leadership in a clear and actionable manner.
  • MARGINAL OR PERIPHERAL FUNCTIONS
  • Perform additional duties or project work as assigned.
  • REQUIRED QUALIFICATIONS
  • Bachelor's degree in Mathematics, Statistics, Data Science, Engineering, Finance, Economics, Computer Science, Data and Business Analytics 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 with the ability to synthesize large and complex datasets, quantify business impacts, and develop actionable insights supporting strategic, risk management, and portfolio management decisions.
  • Experience utilizing SQL and/or analytical programming languages (Python, SAS, R, or equivalent) to query, analyze, and transform data.
  • Experience developing data visualizations, dashboards, and analytical reporting using Tableau, Power BI, or similar tools.
  • Strong written and verbal communication skills with the ability to present analytical 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 standards of accuracy.
  • Advanced proficiency with Microsoft Excel and Power Point.
  • Knowledge of database concepts, data extraction techniques, process automation, and quantitative analytical methods.
  • Support the 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.
  • COMPETENCIES/SKILLS
  • Communication: Ability to communicate complex analytical concepts and portfolio insights clearly and effectively to both technical and non-technical audiences.
  • Partnering / Influencing: Builds strong relationships across Credit Risk, Treasury, Finance, and Line of Business partners.

Effectively collaborates across teams, challenges assumptions constructively, and influences decision-making through data-driven insights and recommendations.

  • Business

Acumen: Demonstrates a strong understanding of banking, credit risk, portfolio management, and financial performance drivers.

Applies business knowledge to translate analytical findings into meaningful strategic and risk management insights.

  • Critical Thinking / Problem

Solving: Applies analytical rigor and sound judgment to evaluate complex business problems, identify emerging risks, and develop practical solutions.

Able to independently formulate hypotheses, assess alternatives, and recommend appropriate courses of action.

  • Results

Orientation: Effectively manages multiple priorities while maintaining high standards of quality and accuracy.

Demonstrates accountability for outcomes, proactively identifies obstacles, and drives initiatives to completion within established timelines.

  • Initiative & Continuous

Improvement: Demonstrates ownership of analytical processes and outcomes.

Proactively identify opportunities to improve methodologies, reporting, automation, and business processes while driving solutions to completion.

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 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.

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: 09/06/2026

Key Corp 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

#LI-Hybrid

Key Bank is an organization collectively committed to helping you unlock your potential and discover what truly drives you.

Working here means sharing our purpose to help our clients, colleagues, and communities thrive.

You’ll find genuinely supportive teammates, a flexible, inclusive work environment, challenging projects, accessible leaders, and opportunities to grow in your position and your career.

For 200 years, Key has opened doors in our communities.

Let us open one for you.

#J-18808-Ljbffr

Quantitative Credit Data Analyst employer: KeyCorp

KeyBank is an exceptional employer located in the heart of Cleveland, Ohio, offering a dynamic work culture that prioritises inclusivity and employee growth. As a Senior Quantitative Analytics Associate, you will benefit from a supportive team environment, flexible work options, and access to challenging projects that enhance your skills in model validation and machine learning. With a commitment to helping you unlock your potential, KeyBank provides a platform for meaningful career advancement while contributing to the success of clients and communities.

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Contact Details:

KeyCorp Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Credit Data Analyst

Tap into Campus Networks

If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.

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We think you need these skills to ace Quantitative Credit Data Analyst

Quantitative Analysis
Credit Risk Management
Portfolio Management
Data Analysis
SQL
Python
SAS

Some tips for your application 🫡

Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.

Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to KeyCorp.

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How to prepare for a job interview at KeyCorp

Brush Up on Financial Analysis Skills

Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with KeyCorp.

Prepare for Case Studies

Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.

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Network with Industry Professionals

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