Jobs / United States / Capital One Services LLC
Senior Manager, Quantitative Analysis - Model Risk Office
Capital One Services LLC · 🇺🇸 McLean, VA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 838 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 253 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Capital One Services LLC paid sponsored hires in similar roles5 certified filings for “Risk Manager” (Information Technology Project Managers) in IL: $132k–$137k, median $132k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Capital One Services LLC
The US Department of Labor certified 838 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 253 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Capital One Services LLC →
About the role
Senior Manager, Quantitative Analysis - Model Risk Office At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Quantitative Senior Manager at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. As part of the Model Risk function, you will partner with high-performing model development teams and model risk teams responsible for advance Capital One’s Loan Loss Forecasting and Allowance for Credit Losses (ACL) framework. You will provide effective challenge on quantitative models, evaluating conceptual and statistical soundness, performance under economic stress scenarios, and alignment with model policy. The ideal candidate brings deep retail credit risk expertise, strong regulatory knowledge, and a proven track record of driving rigorous model challenge. Responsibilities and Skills: - Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools. - Develop alternative model approaches to assess model design and advance future capabilities. - Understand relevant business processes and portfolios associated with model use. - Understand technical issues in econometric, statistical, and machine learning modeling and apply these skills toward developing models and assessing model risks and opportunities. - Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management. - Maintain the efficiency and accuracy of our models through continuous improvement and application of best practices. - Develop and maintain high quality and transparent documentation. - Leverage the latest open source technologies and tools to identify areas of opportunity in our existing framework. Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation. Successful candidates would possess: - Demonstrated track-record in modeling and experience utilizing model estimation tools such as Python or R. - Ability to clearly communicate modeling results to management, model risk office, regulator and other modelers. - Drive to continuously improve all aspects of their work in a collaborative fashion. - Experience in machine learning. - Strong communication skills with the ability to quickly understand existing models and new requirements/business needs. - Experience working with Agile development methodologies. - Strong grasp of econometric theory and methodologies. - Desire to remain on the leading edge of analytical technology with a passion for the newest and most innovative tools. Basic Qualifications: • Currently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date: • A Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative con