Capital One

Recruitment

• Lead all aspects of the tech executive search lifecycle (VP through EVP), from initial strategy kickoff through sourcing strategy, candidate cultivation, client management, complex offer negotiations, and onboarding
• Act as a trusted advisor to senior business leaders
• Partner closely with Executive Research & Market Intelligence team
• Use data and insights to build compelling narratives
• Build tight partnerships with HR Business Partners (HRBPs), Compensation teams, Chiefs of Staff (CoS), Legal, and Risk

Senior Manager, Executive Recruiting – Tech

Security Engineer

• Act as an Information Security point of contact for a business function within the Card line of business
• Coordinate and execute proactive Information Security consulting to the business and technology teams covering Infrastructure Security, Resiliency, Data Security, Network Architecture and Design, and User Access Management
• Serve as an expert in Capital One’s Information Security capabilities, solutions, policies, procedures and standards
• Leverage strong technical acumen and be security SME reviewing architecture, providing risk mitigation solutions and driving overall risk management
• Partner closely with engineers, product managers, and other cross-functional partners to help break down complexity and organizational silos to problem solve
• Influence customers to leverage security capabilities and solutions to shift and integrate security to the left in the development processes
• Escalate and manage cyber security risk
• Provide ad hoc support on special Information Security hot topics for the business
• Provide regular updates to executive leadership with your line of business on the overall Information Security health and risk environment

Senior Lead Information Security Consultant – AI

Backend Engineer

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Lead Software Engineer, Back End – Cloud Operations Resilience Engineering

• Serve as the subject matter expert guiding projects and technical investigative teams to protect a large enterprise
• Strategize and implement technology best practices for risk mitigation associated with analysis of security operations center alerts and cases
• Engage with internal teams and cyber/technology industry partners to ensure threats from external actors are evaluated and mitigated where appropriate
• Understand the business drivers, and associate culture of the enterprise and partner with relevant stakeholders to ensure regulatory compliance, data protection, and associate protection are in place
• Collaborate with engineering and other teams to drive automation for analysis efficiency, containment, and remediation activities
• Advocate for change, and excel at partnering with various cross functional stakeholders
• Collaborate with other CSOC leaders to deliver a continuous monitoring and response capability
• Use data across CSOC operations to drive decisions, with emphasis on resource allocation, threat mitigation, and associate development
• Serve as the technical advisor for the Senior Director

Director, Information Security Office – AI/ML

Data Scientist

• Identify business challenges and opportunities for improvement and solve for them using analysis
• Perform modeling/analytics to assist new product and pricing strategies for various lending products
• Support direct-to-consumer marketing efforts for select products
• Support step-change improvements in credit performance
• Involve problem frame-works, develop hypotheses, test and analysis
• Work closely with colleagues across Capital One including: IT, Sales, Operations, Finance and others

Senior Business Analyst, Commercial Treasury Management Product Analytics

Auditor

• Audit major components of business units
• Assist in developing engagement planning documentation
• Design and execute internal control testing
• Prepare clear and organized documentation
• Establish and maintain good client and team relations
• Communicate audit progress effectively
• Perform various engagement administration tasks

Senior Staff Auditor, Finance

• Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
• 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
• Lead teams of data scientists who build machine learning models to challenge current champion models
• Lead validation of a wide variety of models across multiple business domains

Principal Associate, Data Science – Model Risk Office

Product Manager

• Support the design and delivery of a modern, extensible, and well managed products.
• Apply systems thinking to understand the platform, business, and broader technical architecture holistically.
• Partner with Engineering to drive the full development lifecycle.
• Deliver foundational capabilities that power updated card processing platforms across Capital One.

Manager, Product Management – Common Capabilities

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.

Lead AI Engineer – AI Foundations, LLM Core, Agentic AI

Senior Lead AI Engineer – AI Foundations, LLM Core, Agentic AI

Financial Planning and Analysis

• Provide strategic direction and oversight for the underwriting and portfolio management team
• Lead internal approvals primarily for equity transactions and any related debt, ensuring structural integrity and alignment with Capital One’s risk appetite
• Oversee risk assessment and lifecycle management of equity investments
• Proactively manage emerging lower-tier and upper-tier portfolio risks
• Drive innovation and continuous process improvements
• Lead, mentor, and advocate for a high-performing team of underwriters and portfolio managers

Director, Community Finance Underwriting – Stabilized Proprietary, Multifund

• Lead a high impact product organization responsible for the end-to-end customer journey confidence.
• Eliminate manual testing and unlock robust production validation.
• Bridge the gap between pre-release testing and post release monitoring.
• Oversee platform products that solve our customer journey verification ecosystem.
• Manage a portfolio that includes maturing enterprise-grade testing tools and a transformative production-testing capability.

Senior Product Manager – Retail Bank Platform Enablement

Machine Learning Engineer

• Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers.
• Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
• Fine-tune, develop and evaluate machine learning and foundation models,
• Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities
• Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
• Leverage a broad stack of Open Source and SaaS AI technologies.
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
• Retrain, maintain, and monitor models in production.
• Construct optimized data pipelines to feed ML models.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

Lead Machine Learning Engineer – Manager IC

Administration

• Lead the day-to-day administration, compliance, and vendor oversight for Capital One’s retirement programs
• Serve as the internal subject matter expert to research, diagnose, and resolve complex or escalated participant and administrative issues
• Oversee the preparation of IRS Form 5500 and Form 8955-SSA
• Partner with Benefit Operations on administrative error correction processes
• Review, audit, and approve complex quarterly recordkeeping invoices
• Monitor omnibus accounts, revenue sharing, float income, and the utilization of fee offsets or service credits
• Monitor and audit the timely completion, print generation, and digital distribution of required participant disclosures executed by the Recordkeeper
• Deliver actionable management reporting on metrics such as participation rates, matching utilization, loan behavior, and hardship withdrawal trends
• Incorporate AI tools to drive efficiencies in reporting and monitoring of the Plan
• Mentors, guides, and builds technical capabilities of more junior team members

Manager, Benefits – 401(k) Administration

• Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers.
• Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
• Fine-tune, develop and evaluate machine learning and foundation models.
• Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities.
• Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
• Leverage a broad stack of Open Source and SaaS AI technologies.
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
• Retrain, maintain, and monitor models in production.
• Construct optimized data pipelines to feed ML models.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.