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Endpoint Engineer - 1071
Quantinuum
US Broomfield, CO
- $115,000 to $155,000 USD / year
…information security program. This role will report to the IT Engineering Manager and work in partnership with our global IT organization, including engineering, enterprise apps, and the…
Added 5 mins ago
Principal Housing Finance Manager
MTC
San Francisco, CA
The Principal Housing Finance Manager is BAHFA’s lead subject matter expert on affordable housing lending. This is a hands-on transactions role: you will originate, underwrite, structure,…
Added 18 mins ago
AL
Staff Engineer, Systems Engineering
Automated Logic Corporation
Bloomington, MN
- $96,000 to $192,000 USD / year
Architect, develop, and deliver high-quality software, code, and algorithms for full-stack Java and Android-based solutions, ensuring end-to-end code quality.
Added 26 mins ago
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Senior Staff TLM, Security Systems
Aurora
Mountain View, CA · Bozeman, MT · San Francisco, CA · Pittsburgh, PA · Louisville, CO · Seattle, WA
- $191,000 to $340,000 USD / year
As a Senior Staff TLM (Technical Lead Manager), Security Systems you will be the technical anchor bridging Systems Engineering, Product Security, and Autonomous Vehicle Hardware/Software…
Added 46 mins ago
Senior Product Manager - Billing Core
gaiia
Remote, United States
You will work closely with your squad (a Team Lead, Full-Stack Developers, a Product Designer, and a QA Specialist) to identify opportunities, shape solutions, and deliver value…
Added 49 mins ago
Staff Forward Deployed Engineer, Platform
eSimplicity
Remote, United States
Strong hands-on depth in platform engineering, DevOps, cloud infrastructure, CI/CD, automation, observability, identity, and secure integration patterns, with working fluency in adjacent…
Added 53 mins ago
T
Project Manager/Owner Rep
TEKsystems
Pine Island, MN
- $72 to $81 USD / hour
We are seeking a Project Manager/Owner's Representative - Food & Beverage to join our team in Minneapolis, MN.
Added 55 mins ago
CM
Sr. Software Engineer
CHG Management, Inc.
Salt Lake City, UT
- $252,300 USD / year
…CHG's staffing brands rely on every day. You'll work across the full stack: Java and Spring Boot services on the backend, and Vue.js and TypeScript on the front end as we move toward React.…
Added 58 mins ago
Product Engineer
Yanfeng Human Resources
Novi, MI
Experience leading programs and teams with full engineering responsibility.
Added 1 hour ago
Senior AI Product Manager
Future Works
Remote, United States
You own the plan, the gates and the scope line, supported by a data and technology lead, a full-stack engineer, a solution architect and a partner on business outcomes.
Added 1 hour ago
Digital Marketing Operations Manager
Avery Dennison
Dallas, TX
Proven experience designing and managing a complex marketing technology stack, with hands-on administrator experience with platforms like Demandbase, Adobe Experience Manager, Semrush,…
Added 1 hour ago
Head of AI Deployment
Gyde
New York City, NY · Austin, TX · NY
We’re looking for a technical builder to be Gyde’s Head of AI Deployment and the project manager of every agency integration. You’ll own it end to end, from day-one systems and data…
Added 1 hour ago
Software Engineering Group Manager
The Coca-Cola Company
Atlanta, GA
As a Software Engineering Group Manager, you will lead multiple engineers across full stack, front end, and back-end disciplines to deliver customer-facing and internal products in a…
Added 1 hour ago
Sr Product Mgr I
LexisNexis Risk Solutions Inc. Company
Alpharetta, GA
Job Summary: The Senior Product Manager I will own a product or one or more product features within a complex product. He/she will be responsible for developing a commercially successful…
Added 1 hour ago
Strategy & Planning Manager
Cisco
Research Triangle Park, NC
Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our…
Added 2 hours ago
Staff Software Engineer
Neumo Holdings LLC
VA · Waite Park, RI · TX · OH · IL
The Staff Engineer reports to a Software Engineering Manager on the Records platform. The manager leads people and delivery, and the Staff Engineer leads on technical depth and direction.
Added 2 hours ago
Sr. Software Engineer
Neumo Holdings LLC
Decorah, IA · VA · IL · CA · AL
The Senior Software Engineer reports to a Software Engineering Manager on the Records platform.
Added 2 hours ago
T
Project Manager/Owner Rep
TEKsystems
Tulare, CA
- $72 to $81 USD / hour
We are seeking a Project Manager/Owner's Representative - Food & Beverage to join our team in Tulare, CA.
Added 2 hours ago
Senior Partner Enablement Product Manager, Storage Platform
Nvidia
Santa Clara, CA
This Senior Partner Enablement Product Manager, Storage Platform role owns storage solution adoption and enablement across our ODM partners, with a focus on integrating NVIDIA storage…
Added 2 hours ago
Principal Partner Enablement Product Manager, AI Infrastructure
Nvidia
Santa Clara, CA
This Principal Partner Enablement Product Manager, AI Infrastructure owns adoption and alignment for our ODM partners delivering data center solutions to customers. The person in this seat…
Added 2 hours ago
Product Manager, AI SASE Platform
Cisco
San Jose, CA
Seasoned Product Manager with proven experience leading cross-functionally from ideation, defining strategy and technical road maps, requirement definition, driving development/engineering…
Added 2 hours ago
Manager, Product Management - Recoveries Third-Party Integrations (3PI)
Capital One
NY · McLean, VA · Richmond, VA
…reactive pandemic responses, we are modernizing our core tech stack, elevating the voices of vulnerable cardholders, and setting new industry benchmarks for compassionate, respectful debt…
Added 2 hours ago
Senior Staff Software Engineer
ServiceNow
Santa Clara, CA
This is not an ML research role; you do not train foundation models. It is also distinct from traditional full-stack staff work, where systems follow deterministic logic. Two things shape…
Added 3 hours ago
Senior Mechanical Engineer
Glassboard, LLC
Indianapolis, IN
Where needed, the Senior Mechanical Engineer serves as project manager, owning scope, schedule, budget, and client communication. The role also helps set the engineering standard for the…
Added 5 hours ago
Technical Program Manager – Manufacturing Readiness - 817
Quantinuum
Broomfield, CO

Capital One

Manager, Data Science - Model Risk Office

McLean, VA, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

Manager, Data Science - Model Risk Office

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 Data Scientist 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 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.

Team Description In Capital One’s Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models. We use our machine learning, AI, software engineering, and business expertise to drive the best outcomes in both Model Risk Management and the Enterprise.

The successful candidate will join the Card Model Risk team which is tasked with review and oversight of models used for underwriting Capital One’s flagship credit card products. You will use a variety of modeling, statistical, monitoring, and analytical tools to ensure models developed by data science practitioners across the company are effectively governed and lead to positive outcomes for the business.

Role Description

In this role, you will:

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
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 4 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases

Preferred Qualifications:

PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
At least 1 year of experience working with AWS
At least 4 years’ experience in Python, Scala, or R for large scale data analysis
At least 4 years’ experience with machine learning
At least 4 years’ experience with SQL

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: $197,300 - $225,100 for Mgr, Data Science

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).

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More about this job

Skills

Decision making
Underwriting
Python
AWS
Apache Spark
Machine learning
Interpersonal skills
Research
Cloud computing
Deep learning
Statistics
Computer science
Data analysis
Programming languages
Scala
R
SQL
Technical support
Recruitment

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