Senior Business Analyst - Card Loss Forecast
Listed on 2026-01-10
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Business
Risk Manager/Analyst -
Finance & Banking
Risk Manager/Analyst
Senior Business Analyst - Card Loss Forecast and Allowance
About the organization:
The Loss Forecasting and Allowance team resides within our Consumer Card Risk Management Organization and is focused on delivering quality forecasts to our Consumer Card businesses (US Card, Canada and UK). This ultimately impacts LOB‑wide budgets and planning, and directly impacts company‑wide earnings. The broader team also works on Stress Testing initiatives as well as quarterly updates on the state of credit which are shared directly with Rich Fairbank, CEO and the Executive Committee.
The team environment is collaborative, engaging, and offers ample opportunities for meaningful contributions to the highly visible work we do.
The Role:
As a Senior Business Analyst at Capital One, you will apply your strategic and analytical skills to major company challenges. You will team with world‑class professionals to develop and test strategies that ultimately impact the bottom line. The role sits on the Card Allowance team which produces a quarterly forecast for expected lifetime credit losses (i.e. the reserve for loans we expect not to collect on under GAAP standards).
This has direct impacts on the consolidated P&L and is frequently discussed in the context of company‑wide earnings. You will work alongside driven teammates and a variety of cross‑functional teams (Accounting/Finance, Capital Risk, first‑line business teams, among others) to build out a robust and well‑informed product.
Additional aspects of this role include gaining familiarity with the underlying models and data, engaging with first‑line teams to stay apprised of business strategy changes, assessing internal and external trends to derive insights into credit performance, and identifying areas to improve our processes and forecasts.
General Responsibilities- Analysis:
Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations. - Product:
Perform modeling/analytics to assist new product and pricing strategies for various lending products. - Credit Risk:
Support step‑change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis. - Execution:
Involve problem‑frame‑works, develop hypotheses, test and analysis, solution development, scope operational feasibility, lead implementation efforts and develop a monitoring plan. - Partnership:
Work closely with colleagues across Capital One including IT, Sales, Operations, Finance and others to drive improvement in quality, volume, service, and profitability. - Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing & credit risk management.
- Strong business judgment, leadership and integrity:
Tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business. - Strong communication skills:
Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills. - Clear results orientation:
Focus on achieving both short and long term goals, able to drive and execute an agenda in an uncertain and fluid environment. - Successful track record of thriving in a fast‑paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus.
- Bachelor’s Degree in any quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering).
- At least 1 year of experience in analysis.
- Master’s Degree in Business or a quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering.
- 1+ years of experience in statistical model building.
- 1+ years of experience in market research.
- 1+ years of experience in SQL querying.
- 2+ years of experience in business analysis.
- 1+…
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