Jobs / United States / Capital One Services LLC
Senior Associate, Quantitative Analyst - Commercial Credit Modeling Team
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 roles232 certified filings for “Senior Data Analyst” (Data Scientists) in VA: $92k–$131k, median $113k. Most were filed at wage level IV (42%) — 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 Associate, Quantitative Analyst - Commercial Credit Modeling Team 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 Analyst 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. Capital One’s Commercial Bank Team has a $100B+ loan portfolio that has grown organically and via acquisitions, covering C&I, CRE, and Structured Products. On this team, you’ll get an opportunity to solve a diverse set of problems with a diverse set of tools. In some settings, you’ll leverage open source programming or cloud computing to predict credit risk loss across multi-million record datasets using statistical techniques. In other settings, you’ll get the opportunity to use completely different skill sets, blending business thinking with simulation and quantitative tools when forecasting rare or unprecedented events. It’s a growing team full of exciting opportunities to solve a range of complex problems. Responsibilities and Skills: • Develop credit risk models for various business applications, including internal risk rating, loss forecasting, stress testing, pricing for Structured Products • Partner with the business analyst team to enhance modeling and analytical frameworks to generate business insights and drive changes • Proactively identify opportunities to apply quantitative methods and automation solutions to improve model performance and process efficiencies • Collaborate with implementation and data infrastructure team to build cloud-based solutions for model deployment, monitoring, and maintenance • Work effectively with challenge functions to ensure prompt and comprehensive support for model governance 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 will possess: • Excellent coding skills in Python (must-have) and/or R (good to have) with self-drive to create accurate, efficient, and organized code using industry best practices • Hands-on experience utilizing data analysis and visualization packages to gain insights from large datasets • Deep understanding of quantitative analysis methods with practical considerations under the context of financial institutions and/or commercial bank lending • Demonstrated track-record in applying statistical, machine learning and/or econometric analysis to solve business problems • Drive to develop and maintain high quality and transparent model documentation • Strong communication skills both written and verbal, and storytelling skills for presentations • Experience with simulation-based modeling approach, stochastic processes, etc • Appreciation for processes, controls, and good governance 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