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Remote Card Operations Jobs in Washington (NOW HIRING)

A.C. Coy

Microservices Developer (Remote)

Alexandria, VA · Remote

$54.50 - $70.75/hr

Document APIs, operational runbooks, and service ownership responsibilities. Qualifications * A ... Must be a US Citizen or have Permanent Residence status (Green Card). * Must be able to obtain a ...

A.C. Coy

Microservices Developer (Remote)

Alexandria, VA · Remote

$54.50 - $70.75/hr

Document APIs, operational runbooks, and service ownership responsibilities. * A degree from an ... Must be a US Citizen or have Permanent Residence status (Green Card). * Must be able to obtain a ...

A.C. Coy

Microservices Developer (Remote)

Alexandria, VA · On-site +1

$54.50 - $70.75/hr

Document APIs, operational runbooks, and service ownership responsibilities. Qualifications * A ... Must be a US Citizen or have Permanent Residence status (Green Card). * Must be able to obtain a ...

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Remote Card Operations information

What are common challenges in remote card operations and how can they be managed?

Professionals in remote card operations often deal with challenges such as coordinating with cross-functional teams across different time zones, maintaining compliance with strict security protocols, and responding quickly to transaction issues or fraud alerts. Effective communication tools and clear escalation processes are essential to overcoming these hurdles. Staying proactive about updates in payment technologies and regularly participating in team meetings also help remote card operations staff stay connected and efficient, ensuring smooth workflow and client satisfaction.

What is remote card operations?

Remote Card Operations refer to the management and processing of credit, debit, or prepaid card transactions and account activities from a location outside a traditional bank branch or office. This role typically involves tasks such as reviewing and approving card applications, monitoring for fraud, handling customer inquiries, and ensuring compliance with financial regulations, all performed using digital tools and secure online systems. Remote Card Operations professionals support the efficiency and security of card services for banks, fintech firms, and payment processors while working from home or another remote location.

What is the difference between Remote Card Operations vs Remote Card Processing Specialist?

AspectRemote Card OperationsRemote Card Processing Specialist
CredentialsTypically requires banking or financial certifications, familiarity with card networksRequires similar certifications, focus on processing systems and transaction handling
Work EnvironmentRemote, office-based banking or financial institutionRemote, processing centers or financial institutions
Industry UsageUsed across banks, credit card companies, and financial institutionsCommon in payment processing companies and financial service providers
Job FocusManaging card operations, compliance, and customer issuesHandling transaction processing, data reconciliation, and system troubleshooting

Remote Card Operations and Remote Card Processing Specialist roles share similar credentials and work environments, both serving financial institutions. However, Remote Card Operations focuses on overall card management and compliance, while Remote Card Processing Specialists concentrate on transaction processing and system support. Both roles are essential in the payment industry and often overlap in skills and industry usage.

What skills and qualifications are needed for remote card operations?

To thrive as a Remote Card Operations specialist, you need a solid understanding of payment processing, card network rules, and risk management, often supported by experience in banking or financial services. Familiarity with core banking systems, transaction monitoring software, and compliance tools like AML platforms is typically required. Strong attention to detail, analytical thinking, and effective communication are vital soft skills for ensuring accuracy and resolving issues remotely. These competencies are crucial for maintaining secure and efficient card operations while minimizing fraud and ensuring regulatory compliance.
What are popular job titles related to Remote Card Operations jobs in Washington? For Remote Card Operations jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Card Operations jobs in Washington look for? The top searched job categories for Remote Card Operations jobs in Washington are:
What cities in Washington are hiring for Remote Card Operations jobs? Cities in Washington with the most Remote Card Operations job openings:
Remote Card Operations jobs near you
Infographic showing various Remote Card Operations job openings in Washington as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Senior Director, Data Science (Remote-Eligible)

Capital One

Mclean, VA • On-site, Remote

Full-time

Posted 21 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks

Job description

Senior Director, Data Science (Remote-Eligible)

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 Science Leader 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.

The Intelligent Foundations and Experiences (IFX) group is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering. The Emerging AI Patterns team within IFX group is a new strategic initiative to explore and operationalize cutting-edge AI paradigms like Agentic frameworks, multi-agent collaboration. We are specifically focused on revolutionizing how Capital One develops, deploys, and manages a large number of machine learning models through Agentic AI systems.

In this role, you will:

  • Partner with a cross-functional team of software engineers, distinguished researchers, and solutions architects to drive great decisions through modeling

  • Define and drive towards an end state that is based on simplicity and the adoption of digital technologies, cloud hosting, and open source software.

  • Distill the details of complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks

  • Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners

  • Shape our practice of building machine learning models, from design through training, evaluation, validation, and implementation

  • Oversee development of benchmark and challenger models to stress test critical modeling decisions

The Ideal Candidate is:

  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.

  • 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.

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 11 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 9 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 6 years of experience performing data analytics

  • At least 6 years of experience leveraging open source programming languages for large scale data analysis

  • At least 6 years of experience working with machine learning

  • At least 6 years of experience utilizing relational databases

Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics

  • At least 6 years of experience in Python, Scala, or R for large scale data analysis

  • At least 6 years of experience with machine learning

  • At least 2 year of experience working with AWS

  • At least 6 years of experience with complex architectural patterns (SOA), building APIs, microservices, and event streams

  • At least 6 years of experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Capital One is open to hiring a Remote Employee for this opportunity.

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.

Remote (Regardless of Location): $286,200 - $326,700 for Sr Dir, Data Science


McLean, VA: $314,800 - $359,300 for Sr Dir, 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 theCapital 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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