Capital One

Machine Learning Engineer

• Design, build, and deliver machine learning models and components solving real-world business problems
• Collaborate with Product and Data Science teams
• Inform ML infrastructure decisions using knowledge of modeling techniques, data, feature selection, training, tuning, dimensionality, bias/variance, and validation
• Write and test application code, develop and validate ML models, and automate testing and deployment
• Collaborate on cross-functional Agile teams to create and enhance big data and ML applications
• Retrain, maintain, and monitor production models
• Leverage or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale
• Construct optimized data pipelines feeding ML models
• Apply CI/CD, test automation, and monitoring practices for model and application deployment
• Manage code to reduce vulnerabilities and govern models from a risk perspective using Responsible and Explainable AI best practices
• Use programming languages including Python, Scala, or Java
• Join Capital One's Dealer Tech division, developing secure technology that streamlines auto financing for dealers

Manager

• Support Capital One’s broker dealers compliance program
• Provide risk management coverage across broker dealer activities, including mergers and acquisitions, investment banking, underwriting, equity sales, trading and research, and secondary trading of asset-backed securities
• Work with the enterprise Ethics Office to review potential investment banking and mergers and acquisition deals for conflicts of interest
• Review and approve outside business activities and private securities transactions in accordance with FINRA rules and regulations
• Review and approve gifts and entertainment for broker dealer associates
• Review and approve marketing materials and public appearances by broker dealer associated persons
• Conduct compliance reviews of Office of Supervisory Jurisdictions and branch offices according to the appropriate regulatory schedule
• Track changes to supervisory designations, office locations, and principal lists, and approve Form U4 and U5 filings
• Provide compliance advisory services across the broker dealers, including updating written supervisory procedures, risk assessments, issues management, and other compliance program elements

Broker Dealer Advisory Manager

Director

• Oversee the development and delivery of the Company’s global equity compensation programs
• Lead the Equity & Special Compensation team, including enterprise-wide equity strategy, equity trend analysis, equity grants and releases, peer equity market intelligence, risk management, and the corporate equity plan provider relationship
• Lead equity program administration for long-term incentive plans, stock purchase plans, special compensation, and executive compensation initiatives
• Partner on equity program design, including award vehicles, eligibility, targets, vesting schedules, and terms and conditions
• Deliver data-driven materials, analyses, actionable recommendations, and executive-ready presentations for senior leaders and Compensation Committee discussions
• Lead equity compensation work for acquisitions, including due diligence, equity award conversion planning, execution, and communications
• Collaborate with Legal, Accounting, Finance, Payroll, Tax, and third-party vendors to ensure compliance with governance and regulatory requirements
• Oversee stock plan data for Forms 10-K and 10-Q, Section 16 filings, proxy materials, and equity plan reserve increases
• Monitor proxy advisor policies, legislative changes, SEC rules, and disclosure requirements; develop recommendations
• Oversee and evolve stock ownership requirements for senior executives
• Advise Compensation leadership on equity compensation processes, policies, and system solutions
• Provide analytical and technical support for equity programs, plan design alternatives, expense implications, market studies, and benchmarking
• Facilitate deferred compensation deferrals, including equity awards, for the Board of Directors
• Enhance compensation processes and reporting through automation, analytics, and AI-enabled tools
• Support special projects across the enterprise
• Lead a team of up to 6 associates
• Lead cross-functional teams designing and delivering compensation product and experience enhancements
• Foster a culture of belonging through attracting, developing, and supporting talent

Director, Compensation – Equity Compensation

General

• Execute high-volume cash transactions, including deposits, withdrawals, and complex negotiable instrument processing
• Maintain accuracy and comply with security, audit, BSA/AML, and federal regulatory standards
• Educate clients on mobile banking, remote deposit capture, and contactless payments
• Identify client needs and connect them with appropriate digital tools or banking solutions
• Greet customers and provide a welcoming, community-focused experience
• Support surrounding branches within a 50-mile radius and occasionally assist other regional locations
• Work changing schedules, including nights and weekends
• Attend required training sessions
• Complete a potential 35-minute assessment during the application process

Part Time Branch Ambassador

General Counsel

• Apply strategic and analytical skills to support the Premium Products & Experiences (PPX) team and premium credit card business
• Advise on developing industry-leading products, benefits, and features
• Partner with the business on strategy and brainstorming
• Understand business-team intent and assess legal and business risks
• Advise on initiatives, multifaceted marketing strategies, and customer experiences
• Identify and assess legal risks associated with the premium credit card business
• Interpret laws, regulations, and legal requirements for business teams
• Provide legal support as part of a collaborative, cross-functional team
• Work with PPX, Card, Brand, Business Risk Office, Corporate Communications, and Compliance stakeholders to address risks, develop solutions, and resolve issues
• Interact regularly with senior business partners, Legal Department subject matter experts, and other business attorneys

Senior Manager, Senior Counsel – Premium Products & Experiences Product Counsel

Insurance

• Develop business strategies driving growth, profitability, and competitive success for Capital One
• Own business outcomes with an ownership mindset
• Manage and develop analyst teams as applicable
• Coach and mentor associates to develop and retain talent
• Coordinate across lines of business to sequence delivery of business intent
• Build business requirements and execute product strategy
• Oversee multiple projects and programs concurrently
• Partner with IT, Sales, Operations, Finance, and other teams to improve quality, volume, service, and profitability
• Apply quantitative and qualitative analysis to decision-making and problem-solving
• Drive critical decisions, hold business partners accountable, and deliver results
• Communicate with executives and influence agreement through strategic, interpersonal, and negotiation skills
• Execute short- and long-term agendas in uncertain and fluid environments

Senior Business Manager – Enterprise Risk Management

Product Manager

• Reimagine the status quo and find value creation opportunities through Product Management
• Drive innovative and sustainable customer experiences through technology
• Help modernize risk management practices and capabilities with technology
• Drive transformation of critical products supporting Capital One's core business
• Lead product, technology, and data investments supporting the risk management transformation imperative
• Demonstrate human-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership
• Lead cross-functional teams to solve customer problems and drive organizational alignment

Senior Manager, Product Management – Governance, Risk, and Compliance

• Lead the strategic transformation of Enterprise Risk Management
• Oversee project proposals, work plans, research, and qualitative and quantitative analysis
• Manage ambiguity and drive clarity among teams, partners, and stakeholders
• Craft storylines articulating findings, insights, and recommendations
• Liaise with senior leadership to drive organizational action
• Develop relationships with business leaders to improve go-to-market decision-making
• Manage, mentor, and support less experienced associates
• Lead internal initiatives including recruiting, staffing, diversity and inclusion, and social activities
• Build relationships with business partners to advance Risk Management initiatives
• Advise on efficient and well-managed risk management processes that improve customer experience and competitive differentiation
• Influence decision-making across business units and functional teams
• Use executive forums and quarterly reporting to drive engagement with strategy
• Provide thought leadership and promote best-practice sharing in research, strategy, and design
• Drive collaboration across the Enterprise Risk Organization
• Promote Capital One and Enterprise Risk Organization culture and values
• Develop business strategies supporting growth, profitability, and competitive success
• Oversee multiple projects and programs concurrently and execute product strategy
• Partner with IT, Sales, Operations, Finance, and other colleagues to improve quality, volume, service, and profitability

Senior Business Director – Enterprise Risk Management

Full-stack Engineer

• Define the future of banking in the cloud as part of a community of technical experts
• Lead technical vision and devise practical, reusable solutions to complex problems
• Drive innovation and optimize business outcomes while delivering strong technology solutions
• Promote engineering excellence and an inclusive culture across organizational boundaries
• Mentor engineers, coach technical communities, and actively recruit talent
• Serve as a trusted advisor for key technologies, platforms, and capability domains
• Create communications, code samples, blog posts, and other knowledge-sharing materials
• Work with the Network Authorizations Switch team on resiliency and scalability engineering
• Decompose complex problems into practical and operational solutions
• Ensure technical design and implementation quality
• Advise on performance, scalability, and operability
• Manage multiple projects and maximize impact
• Modernize monolithic systems into microservice architectures and event-driven platforms
• Collaborate with senior engineering and architecture leaders on platform strategy and API standards
• Lead cross-divisional projects promoting technology best practices and enhancements

Staff Full-stack Engineer

• Lead a portfolio of diverse technology projects and a team of developers experienced in distributed microservices and full-stack systems
• Create solutions that meet the company's regulatory needs
• Stay current with technology trends, experiment with and learn new technologies, and participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers to deliver robust cloud-based solutions and experiences for millions of Americans
• Use programming languages including Java, Scala, Python, Go, Node.js, JavaScript, and TypeScript
• Work with open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership and direction across Agile teams
• Set standards for design, development, and operational excellence
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify improvement opportunities, perform targeted refactoring, reduce technical debt, and improve system performance
• Influence long-term technology strategy by evaluating emerging tools and practices in a 'you build it, you own it' environment

Full-stack Engineer 4 – Intelligent Foundations and Experiences

Risk

• Execute test procedures for critical technology functions, cloud-based infrastructure, cybersecurity, risk management, applications, and third-party management
• Perform risk assessments of business activities and conduct relevant testing based on identified risks and processes
• Communicate issues, risks, and recommendations to all levels of management
• Operate independently and complete work on schedule to high-quality standards
• Prepare clear, organized, and complete audit documentation
• Develop and maintain effective relationships with business partners and the extended Audit group
• Leverage data and analytical tools during audit planning and fieldwork
• Follow up on agreed audit actions to ensure management commitments are delivered on schedule
• Seek learning opportunities to enhance role-related skills and competencies
• Audit critical technology functions including cloud-based technology implementations, application controls, and cybersecurity risks

Senior Associate, Tech Risk & Analysis – Technology Audit

Associate

• Deliver critical backend technology powering frontend digital lounge experiences
• Collaborate with Tech, Strategy, Marketing, and Guest Experience partners to deliver solutions for Lounge customers
• Build comprehensive acceptance criteria with technology teams and identify additional research needs
• Break down business epics into features and user stories, driving teams toward minimal viable products
• Use hypothesis-driven data assessment to ensure products and features meet business needs
• Own and prioritize feature development roadmaps while following risk-management processes and procedures
• Conduct research and develop features using new and evolving technology in an agile environment
• Collaborate with designers, technologists, data scientists, and subject-matter experts
• Deliver and manage product platforms by understanding technology trends and architecture strategy
• Participate in horizontal forums and build relationships with technology teams, designers, internal stakeholders, and partner teams
• Articulate product roadmaps, share them with stakeholders, elevate team results, and develop product-matter expertise

Senior Product Associate, Airport Lounges

AI Engineer

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
• Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch
• Invent and introduce foundation model optimization techniques to improve scalability, cost, latency, and throughput of production AI systems
• Contribute to the technical vision and long-term roadmap of foundational AI systems
• Design, implement, and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models
• Establish and lead cost-performance governance reviews, tracking GPU utilization, model throughput, and inference cost efficiency
• Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards
• Mentor Principal- and Manager-level AI engineers and foster cross-domain learning

AI Engineer 5, MLX, Agentic AI, Gen AI platform Services

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
• Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch
• Invent and introduce foundation model optimization techniques to improve scalability, cost, latency, and throughput
• Contribute to the technical vision and long-term roadmap of foundational AI systems
• Own end-to-end architecture for complex AI systems, ensuring maintainability, observability, and ethical alignment
• Define and maintain SLOs for AI reliability, including latency, uptime, and model performance drift
• Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines
• Lead technical reviews for AI system deployments, ensuring security, data governance, and compliance standards
• Mentor Principal and Senior Associates on scalable design, performance tuning, and research-to-production translation

AI Engineer 4, AI Foundations, LLM Customization, Finetuning

Cloud Engineer

• Lead adoption and responsible use of emerging AI and automation capabilities to improve cloud platform and engineering workflow scalability, reliability, and efficiency
• Lead diverse technology projects and developers building scalable cloud infrastructure solutions that meet regulatory needs
• Stay current with technology trends, experiment with and learn new technologies, participate in technology communities, and mentor engineers
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting millions of Americans
• Use Java, Scala, Python, Go, Node.js, Docker, Kubernetes, and cloud provider tools and services
• Provide technical leadership across multiple teams and shape system architecture and long-term technology direction
• Design and implement large-scale, distributed, or cloud-native systems with high reliability and performance requirements
• Partner with architects and product leaders to define platform roadmaps and shared services strategy
• Identify improvement opportunities and contribute to well-managed cloud solutions
• Evaluate emerging tools and practices to influence long-term technology strategy in a you-build-it-you-own-it environment
• Integrate cybersecurity, regulatory compliance, audit, risk, and change-management awareness into daily work
• Lead complex design and implementation efforts for scalable, performant, and reliable distributed or cloud-native systems