Capital One

Compliance

• Serve as a credible authority and partner to senior business leadership, providing expert advice on business strategy, including the transformation of core operating systems.
• Oversee the development and execution of the CMP, ensuring all components are operating effectively to identify and mitigate risks.
• Manage the evolution of the compliance risk management function by challenging the adequacy of controls and facilitating comprehensive corrective actions for process breakdowns.
• Actively promote a culture of compliance risk management and balanced risk taking, while ensuring appropriate monitoring is in place to identify process breakdowns and facilitating comprehensive corrective action.
• Maintain deep subject matter expertise in relevant laws and regulations and monitor emerging consumer protection trends and regulatory changes, domestically and internationally.
• Build strong partnerships with Shopping leadership teams and with internal risk advisors (Legal, Privacy, Risk Management and others) to facilitate well-managed growth of Shopping domestically and internationally.
• As necessary, represent the organization in engagements with external regulators such as the CFPB, OCC, and FRB.
• Report compliance results and the state of the risk agenda to senior management and the Board of Directors as appropriate.
• Display a high degree of emotional intelligence, foster good team dynamics, respond effectively to address employee concerns, and maximize the potential of team members.

Director, Compliance Advisor

Risk

• Facilitating AML risk assessment activities (Process Level Assessments, Risk and Control Self-Assessments, etc.)
• Administering and coordinating deliverables, process support, and reporting related to AML audits and regulatory exams and findings
• Ensuring timely advice, effective challenge, and escalation to proactively identify risks, trends, and process improvements
• Support Risk Reporting team on risk topics to management
• Staying current on the changing regulatory environment and understand the risks & impacts to AML
• Creating and maintaining Risk Management GRC objects (e.g., Risks, Controls, Issues, etc.) as appropriate
• Participating in risk forums and contributing to continuous improvement of risk management practices
• Building and maintaining strong relationships with internal stakeholders such as Audit, Regulatory Relations, and AML teams
• Building and maintaining a strong understanding of the AML people, processes, and technologies
• Building and maintaining a strong understanding of overall Risk Management Framework (e.g. practices, policies, standards, etc.)

Senior Risk Advisory Associate

Full-stack Engineer

• Lead a portfolio of diverse technology projects and guide a team of developers with deep experience in distributed microservices and full stack systems to create solutions
• Collaborate with digital product managers to design and deliver robust cloud-based solutions that drive powerful, personalized experiences to help millions of Americans achieve financial empowerment
• Direct the design, development, testing, and implementation of technical solutions using AI technologies, large language models (LLMs), and cloud infrastructure, ensuring sound data design practices are applied
• Leverage a diverse technical stack including Java, JavaScript, Python, and Go, alongside modern cloud infrastructure, and advanced AWS ecosystems to deliver high-performance software solutions
• Champion the growth of our engineering community through active mentorship, while driving excellence in delivery by conducting rigorous code reviews to ensure technical solutions are performant and maintainable

Lead Software Engineer – Messaging Dispatch

• Articulate and evangelize a bold technical vision for your domain
• Decompose complex problems into practical and operational solutions
• Ensure the quality of technical design and implementation
• Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
• Continue learning and injecting advanced technical knowledge into our community
• Handle several projects simultaneously, balancing your time to maximize impact
• Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community.

Distinguished Software Engineer

Lead Software Engineer, Messaging Dispatch

Operations

• Provide end-to-end logistical support for Leadership and Competency learning portfolios
• Ensure seamless execution of both virtual and in-person learning events
• Lead the technical execution of virtual sessions, manage Zoom/Teams recordings, coordinate room reservations and setups
• Support signature events such as in-person sessions, alumni events, and graduations
• Maintain program calendars and mailboxes, assist with vendor management including Purchase Orders and contract coordination
• Maintain internal resources and assist in learning session build within the LMS

Senior Associate, Learning Operations – Program Execution

Data Analyst

• Drive current and future strategy by leveraging analytical skills
• Assist with building and using models to test and validate data
• Work with vast amounts of data in new and evolving environments
• Be a part of growing and developing the brand in new and emerging markets
• Leverage analytics to create a customer experience above peers
• Lead a team of talented junior analysts
• Be a part of the full life cycle of projects and see end results
• Collaborate across business units
• Working with large and complex databases containing millions to billions of records
• Improving operational efficiencies and effectiveness
• Conducting analysis to evaluate processes and tests
• Extracting and analyzing data to gauge product offerings
• Consulting on the design and implementation of new production and data storage systems
• Developing and implementing strategic tests of products, initiatives and marketing materials

Data Analytics Manager – Card

• Manage the end-to-end implementation process for Treasury Management accounts
• Provide product implementation support and training to clients
• Develop a customized plan for each client and direct junior resources and required internal partners
• Act as a central point of contact for the client throughout the implementation process
• Facilitate pre-implementation kickoff & post sale call with the client
• Conduct new client training
• Maintain a current portfolio of client implementations

Senior Associate, Process Manager – Treasury Management Implementation

Engineer

• Articulate and evangelize a bold technical vision for your domain
• Decompose complex problems into practical solutions that deliver functional requirements
• Leverage agentic AI to accelerate delivery of modernized systems
• Drive quality of technical design and implementation
• Serve as an authoritative expert on non-functional system characteristics
• Constantly learn new technical skills
• Handle multiple concurrent engagements
• Act as a role model and mentor across the tech community

Distinguished Engineer – Global Payment Network

Data Scientist

• Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
• Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more to reveal the insights hidden within huge volumes of numeric and textual data.
• Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
• Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

Senior Manager, Data Science – AI Foundations

Manager

• Drive portfolio strategy by providing strategic direction to teams, peers, and direct reports
• Leverage AI and tooling to automate routine portfolio processes
• Define EPTech intake process and review scope for clarity
• Champion a risk-aware culture by managing risks
• Ensure robust portfolio governance and manage cross-workstream alignment
• Leverage problem-solving and analytical skills to ensure alignment with business intent
• Serve as a strategic thought partner to executive sponsors
• Build strong relationships and influence senior stakeholders
• Implement Lean/Agile portfolio management frameworks

Senior Manager, Portfolio Delivery – Strategy, Enterprise Platforms Technology

Chief of Staff

• Lead the development and implementation of short and long term strategic programs
• Understand prioritization and delivery roadmap
• Influence matrixed stakeholder teams
• Drive organizational processes that enable success
• Partner with communications resources to enhance organizational brand
• Determine feasibility, project and implementation plan for new projects
• Champion unpopular ideas
• Serve as a trusted advisor with stakeholders and leaders across the enterprise
• Inspire an organization of open-exchange and collaboration
• Employ meticulous organizational skills and follow-through
• Work with little direction on complicated, sensitive assignments

Director – Chief of Staff, Marketing Technology

• Partner with a cross-functional team of data scientists, applied researchers, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money
• Leverage a broad stack of technologies — Pytorch, Hugging Face, AWS Ultraclusters, LangChain, VectorDBs, and more
• Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs)
• Build NLP models through all phases of development, from design through training, evaluation, and validation

Principal Associate, Data Scientist – LLM Customization Team

• Develop business strategies that will drive growth, profitability, and competitive success
• Have an ownership mindset, and potentially P&L accountability for a business segment
• Develop and implement new product and pricing strategies for various lending products
• Lead direct to consumer marketing efforts for select products
• Drive step-change improvements in credit performance
• Coordinate across the line of business to manage and sequence delivery of business intent
• Build targeted insights to inform the design and development of new customer experiences
• May manage and develop a team of analysts

Senior Business Manager – SBB Banker Analytics

AI Engineer

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.