Principal Associate, Quantitative Analysis - Investment Portfolio Team
Company: Capital One
Location: Mc Lean
Posted on: April 2, 2026
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Job Description:
Principal Associate, Quantitative Analysis - Investment
Portfolio 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. 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 enhance deep learning model architecture and
develop and deploy fixed income valuation systems using modern
platforms. Responsibilities: Advanced Model Development: Partner
with various lines of business to develop, enhance, and deploy
advanced finance models, such as fixed income models (e.g.,
mortgage prepayment) AI/ML Innovation: Design and implement novel
analytical solutions, applying neural networks, deep learning, and
transformer architectures to solve challenging business problems
across Capital One entities LLM and Agentic Workflows: Identify and
execute opportunities to apply Large Language Models (LLMs) and
agentic workflows to improve business performance and process
efficiencies End-to-End ML Ownership: Take full ownership of the
end-to-end ML model development and deployment process, from
conceptualization and data engineering through model development,
validation, and production deployment Cloud-Based Solutions:
Collaborate with a cross-disciplinary team to build and scale
cloud-based solutions using modern platforms like Kubernetes and
Kubeflow Quantitative Strategy: Identify opportunities for
quantitative methods and automation solutions to enhance business
performance and optimize complex financial processes Communication
& Collaboration: Clearly and concisely communicate complex
technical subject matter and critical insights to a diverse
audience, including executive stakeholders 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: Deep understanding
of quantitative modeling in relation to finance 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
Knowledge of derivative instruments and experience with derivatives
modeling Behavior modeling (prepayment or default) experience for
complex fixed income products or loans (mortgage/auto/card) 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 following
skills through education or experience: Statistical or econometric
modeling Linear and logistic regression Programming in R, Python or
SQL Presenting statistical concepts and research results to
non-statistical audience At least 3 years of experience in at least
3 of the following skills: Survival analysis modeling Time-series
analysis Panel data (longitudinal data or cross-sectional
time-series data) analysis Cross-sectional data analysis Machine
learning Analysis and management of large datasets (>1M records)
Preferred Qualifications: At least 4 years of experience with
Python, R or other statistical analyst software At least 2 years of
experience in machine learning At least 1 year of hands-on model
deployment experience At least 1 year of experience developing
agentic workflows At least 1 year of experience using, fine-tuning,
or deploying Large Language Models (LLMs) Capital One will consider
sponsoring a new qualified applicant for employment authorization
for this position. The minimum and maximum full-time annual
salaries for this role are listed below, by location. Please note
that this salary information is solely for candidates hired to
perform work within one of these locations, and refers to the
amount Capital One is willing to pay at the time of this posting.
Salaries for part-time roles will be prorated based upon the agreed
upon number of hours to be regularly worked. McLean, VA: $161,800 -
$184,600 for Prin Assoc, Quant Analysis Candidates hired to work in
other locations will be subject to the pay range associated with
that location, and the actual annualized salary amount offered to
any candidate at the time of hire will be reflected solely in the
candidate’s offer letter. This role is also eligible to earn
performance based incentive compensation, which may include cash
bonus(es) and/or long term incentives (LTI). Incentives could be
discretionary or non discretionary depending on the plan. Capital
One offers a comprehensive, competitive, and inclusive set of
health, financial and other benefits that support your total
well-being. Learn more at the Capital One Careers website .
Eligibility varies based on full or part-time status, exempt or
non-exempt status, and management level. This role is expected to
accept applications for a minimum of 5 business days. No agencies
please. Capital One is an equal opportunity employer (EOE,
including disability/vet) committed to non-discrimination in
compliance with applicable federal, state, and local laws. Capital
One promotes a drug-free workplace. Capital One will consider for
employment qualified applicants with a criminal history in a manner
consistent with the requirements of applicable laws regarding
criminal background inquiries, including, to the extent applicable,
Article 23-A of the New York Correction Law; San Francisco,
California Police Code Article 49, Sections 4901-4920; New York
City’s Fair Chance Act; Philadelphia’s Fair Criminal Records
Screening Act; and other applicable federal, state, and local laws
and regulations regarding criminal background inquiries. If you
have visited our website in search of information on employment
opportunities or to apply for a position, and you require an
accommodation, please contact Capital One Recruiting at
1-800-304-9102 or via email at
RecruitingAccommodation@capitalone.com . All information you
provide will be kept confidential and will be used only to the
extent required to provide needed reasonable accommodations. For
technical support or questions about Capital One's recruiting
process, please send an email to Careers@capitalone.com Capital One
does not provide, endorse nor guarantee and is not liable for
third-party products, services, educational tools or other
information available through this site. Capital One Financial is
made up of several different entities. Please note that any
position posted in Canada is for Capital One Canada, any position
posted in the United Kingdom is for Capital One Europe and any
position posted in the Philippines is for Capital One Philippines
Service Corp. (COPSSC).
Keywords: Capital One, Wheaton-Glenmont , Principal Associate, Quantitative Analysis - Investment Portfolio Team, Accounting, Auditing , Mc Lean, Maryland
