Jobs / United States / Capital One Services LLC

Capital One Services LLC

Principal Quantitative Analyst - Global Finance

McLean, VA Posted today

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Skills this job asks for

StatisticsMachine learningLeadershipRisk managementPythonCommunicationSQL

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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.
  • 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.
  • 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.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 roles
232 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).

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.

About the role

Principal Quantitative Analyst - Global Finance 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. This position offers a unique opportunity to be a part of the dynamic Finance organization at Capital One. The Finance organization has been on a technology journey seeking to find ways to leverage technology to drive deeper insights and make the complex simple. We are looking for candidates to help in our journey with modeling, analytical and/or model implementation skills to join our finance team. Responsibilities and Skills: - Partner with the various lines of business to develop and enhance Capital Markets modeling and analytical framework, such as  derivatives models and fixed income models. - Work across Capital One entities to create novel analytical solutions to challenging business problems. - Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies. - Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data. - Identify opportunities to apply quantitative methods or machine learning to improve business performance. - Apply deep expertise in mathematics, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers. - Providing technical guidance to business leadership. - Communicate technical subject matter clearly and concisely to individuals from various backgrounds. - Understand and navigate Risk Management Software to enable business analysis.   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:  - Deep understanding of quantitative modeling in relation to finance, capital markets, derivatives and investment portfolio modeling principles. - Extensive experience in Python or other object-oriented language. - Ability to clearly communicate modeling results to a wide range of audiences. - Drive to develop and maintain high quality and transparent model documentation.  - Strong written and verbal communication skills. - Strong presentation skills.  - Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring.   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 concentration plus 3 years of experience in quantitative analytics • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) • At least 3 years of experience in each of the fol

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