Capital One

Risk

• Define and implement the future of payments governance across the enterprise
• Tackle major payments-related challenges and elevate day-to-day governance practices
• Collaborate with cross-functional stakeholders to maintain a dynamic, resilient, and well-managed payments ecosystem
• Partner with executive leadership to shape governance strategy and drive critical initiatives aligned with business priorities
• Design data-driven risk reporting frameworks that translate risk metrics into actionable executive insights
• Identify and deploy Generative AI and automation tools to eliminate manual risk monitoring and modernize workflows
• Partner with data analytics teams to build dynamic, real-time dashboards for proactive trend analysis and early risk identification
• Connect data strategy with 1st and 2nd Line of Defense teams to align with the Enterprise Risk Management framework
• Lead cross-functional reporting efforts on behalf of EPGO and consult with executive leadership to enable enterprise-wide risk initiatives

Manager, Payment Risk Transformation

Backend Engineer

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions
• Work with developers experienced in machine learning, distributed microservices, and full-stack systems
• Use Java, Scala, Python, open-source RDBMS and NoSQL databases, Redshift, Snowflake, and cloud-based data warehousing services
• Stay current with technology trends, experiment with and learn new technologies, participate in technology communities, and mentor engineering community members
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting customer experiences
• Perform unit tests and conduct code reviews to ensure rigorously designed, elegant, and performant code
• Build scalable omnichannel messaging platforms delivering hyper-personalized experiences through owned and paid Adtech channels

Lead Data Engineer, Python, AWS, SQL, GenAI

Manager

• Develop business strategies driving growth, profitability, and competitive success for Capital One
• Manage and develop 1–2 analysts; coach and mentor associates
• Develop and implement product and pricing strategies for lending products
• Lead product-level modeling and analytics
• Lead direct-to-consumer marketing efforts and strategic intent for retail-channel products
• Build targeted insights for new customer experiences, technology, concepts, and go-to-market strategies
• Improve credit performance by analyzing consumer credit trends and historical behavior
• Create risk models and test hypotheses through rigorous monitoring and analysis
• Manage and sequence delivery of business intent and build business requirements
• Execute product strategy and oversee multiple projects and programs concurrently
• Partner with IT, Sales, Operations, Finance, and other Capital One teams to improve quality, volume, service, and profitability

Business Manager

Machine Learning Engineer

• Participate in an Agile team dedicated to productionizing machine learning applications and systems at scale
• Design, develop, and implement machine learning applications using existing and emerging technology platforms
• Focus on machine learning architectural design
• Develop and review model and application code
• Ensure high availability and performance of machine learning applications
• Design, build, and deliver ML models and components solving real-world business problems in collaboration with Product and Data Science teams
• Inform ML infrastructure decisions using modeling techniques and considerations such as model choice, data and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation
• Write and test application code, develop and validate ML models, and automate tests and deployment
• Collaborate with a cross-functional Agile team to create and enhance software enabling 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 continuous integration and continuous deployment practices, including test automation and monitoring
• Manage code to reduce vulnerabilities, govern models from a risk perspective, and apply Responsible and Explainable AI best practices
• Use Python, Scala, or Java

Lead Machine Learning Engineer

Marketing

• Lead brand strategy within a collaborative cross-functional team of business partners, research, creative, legal, and compliance stakeholders
• Develop and execute integrated, multi-channel national marketing campaigns to drive account growth, brand affinity, and customer engagement
• Shepherd multiple marketing creative projects from brief through execution while ensuring strategic intent aligns with delivery
• Partner across functions and with multiple stakeholders to manage project processes effectively and consistently
• Champion the brand by ensuring product claims, imagery, cards, voice, style, and other representations align with brand personas and guidelines
• Develop understanding of best practices across channels and programs
• Use problem-solving and influencing skills to ensure marketing initiatives deliver on intent
• Build presentation materials and cohesive documentation for standalone and meeting use
• Manage, inform, and influence outcomes with key stakeholders across the company

Principal Marketing Associate, Luxury Travel

Engineer

• Own end-to-end detection coverage for the Endpoint domain, from telemetry requirements and threat landscape awareness through coverage gap identification and high-fidelity alert deployment
• Leverage LLMs and machine learning to automate detection logic, summarize attack chains, reduce false positives, and accelerate detection development
• Lead the design, development, and maintenance of Detection-as-Code rules using GenAI-assisted workflows and CI/CD pipelines
• Design and build behavioral detections identifying adversary patterns, TTPs, and anomalous endpoint activity
• Use the MITRE ATT&CK framework to visualize, prioritize, and close endpoint coverage gaps
• Conduct hypothesis-driven threat research across enterprise endpoint environments and translate attacker techniques into detections
• Manage telemetry onboarding, alert deployment, tuning, and continuous coverage gap analysis
• Partner with business leaders, CSOC, Cyber Threat Intelligence, Cyber Threat Hunt, and the Coverage Review Team
• Ensure documentation meets fintech compliance and audit standards
• Mentor engineers on security concepts, AI-driven workflows, and detection engineering best practices
• Contribute to detections powering CSOC investigations and incident response across the enterprise SIEM

Detection Engineer – Manager

Product Manager

• Build an intelligent financial co-pilot that empowers people in America to manage their finances
• Own customer onboarding and activation, guiding users through enrollment and early feature engagement
• Develop intent and build and deliver the product roadmap
• Collaborate with business/data analysts, engineers, business development, Design, Legal, Risk, Compliance, and internal and external partners
• Build comprehensive acceptance criteria and identify needs for additional research
• Break down business epics into features and user stories, driving teams toward MVP feature tests
• Use hypothesis-driven data assessment to validate 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 product platforms by understanding technology trends and architecture strategy
• Participate in horizontal forums and build relationships across technology, design, stakeholder, and partner teams
• Articulate product roadmaps, deliver business value, share results with stakeholders, and develop product-matter expertise

Senior Associate, Product Manager – CreditWise

• Partner with servicing, business analysts, and design to craft a tooling product strategy that empowers agents to deliver faster, empathetic servicing experiences
• Build and iterate on core agent workflows using Enterprise platforms, internal tools, and targeted AI capabilities
• Deliver intuitive UI improvements that eliminate friction and reduce cognitive load for frontline teams
• Manage cross-team dependencies and enable critical partner intents
• Deliver a resilient tooling foundation for Premium Products and Capital One Travel initiatives
• Manage an engineering team and lead delivery of high-priority tooling enhancements
• Manage a groomed agile backlog to sustain developer velocity
• Develop strategic tooling enhancements to transition from reactive maintenance to proactive servicing
• Integrate industry trends and emerging technologies such as AI into the product roadmap
• Share business strategy and roadmap with technology partners
• Co-create technical solutions with the Tech Lead and facilitate agile ceremonies
• Own and prioritize the near-term product roadmap and define success metrics and measurable outcomes
• Develop and communicate a six-month vision to senior stakeholders and partner teams
• Define actionable problem statements, support iterative software delivery, and drive acceptance-criteria alignment

Senior Associate, Product Management – Agent Tooling

• Build an intelligent financial co-pilot that empowers consumers in America to manage their finances
• Develop intent and build and deliver the roadmap for CreditWise's Home experience
• Ensure the Home experience is intuitive and connects consumers to individualized financial insights and tools
• Help consumers manage today, prepare for tomorrow, and feel protected
• Work closely with business/data analysts, engineers, and business development partners
• Collaborate with Design, Legal, Risk, and Compliance partners
• Partner with internal and external stakeholders to shape the Home experience
• Lead cross-functional teams to solve customer problems and drive organizational alignment
• Apply human-centered, business-focused, technology-driven, integrated problem-solving, and transformational-leadership product practices

Manager, Product Management – CreditWise

Social Media Manager

• Drive the evolution from standard social publishing to an audience-first strategy
• Translate platform trends, performance data, and paid media insights into strategic recommendations
• Advise Talent Marketing leadership and implement data-backed social initiatives
• Establish and maintain social media best practices, brand governance, and compliance
• Evaluate agency partnerships supporting social moderation and community management
• Develop and lead associate influencer and executive social programs
• Partner with video and blog content teams to optimize production for social performance
• Identify and implement tools, processes, and methodologies to create, measure, and scale social media efforts
• Monitor and respond to conversations across social channels as the voice of Capital One Careers
• Design and maintain social reporting connecting platform metrics to talent acquisition outcomes and social ROI

Principal Associate, Social Media Strategist, Talent Marketing

• Own the end-to-end strategy for user engagement, lifetime value, and profitable product-led growth
• Serve as the financial and analytical strategist for product-led growth initiatives
• Recruit, hire, and lead a high-performing growth team
• Partner with Product to shape user experiences that drive growth and long-term engagement
• Own financial numbers, opportunity sizing, and offer economics
• Develop business strategies supporting growth, profitability, and competitive success
• Manage and develop analysts; coach and mentor associates
• Develop product and pricing strategies and lead product-level data modeling and analytics
• Lead direct-to-consumer marketing and strategic intent for retail-channel products
• Build customer insights informing new experiences, technology, and go-to-market strategies
• Improve credit performance through trend analysis, risk modeling, hypothesis testing, monitoring, and analysis
• Manage business requirements and execute product strategy
• Oversee multiple projects and programs concurrently
• Collaborate with IT, Sales, Operations, Finance, and other Capital One teams
• Drive quality, volume, service, and profitability improvements

Referral & Lifecycle Marketing Lead

Full-stack Engineer

• Lead a portfolio of diverse technology projects and a team of developers with experience in distributed microservices and full-stack systems
• Create solutions that help meet regulatory needs for Capital One
• Stay current with technology trends and experiment with and learn new technologies
• Participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers
• Deliver robust cloud-based solutions that create powerful experiences for millions of Americans
• Use JavaScript, Java, HTML/CSS, TypeScript, SQL, open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS tools and services

Lead Software Engineer – Full Stack, Java, Spring Boot, AWS, CI/CD

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full-stack systems
• Create solutions that help meet regulatory needs for Capital One
• Stay current with technology trends and experiment with and learn new technologies
• Participate in internal and external technology communities
• Mentor members of the engineering community
• Code or evaluate code as needed
• Collaborate with digital product managers
• Deliver robust cloud-based solutions that create powerful experiences for millions of Americans
• Drive transformation across Capital One’s Enterprise Platforms Technology organization

Senior Lead Software Engineer, Full Stack – Java, Spring Boot, AWS, CI/CD

Data Scientist

• Identify and quantify risks associated with models with cross-functional data scientists, software engineers, and product managers
• Use Python, Conda, AWS, Spark, and other technologies to analyze large volumes of numeric and textual data
• Build machine learning models to challenge production champion models
• Contribute to the model governance framework for next-generation machine learning models
• Present the business impact of model risks to executives
• Validate models across multiple business domains within Enterprise Services
• Research and evaluate emerging technologies and state-of-the-art methods
• Retrieve, combine, and analyze data from diverse sources and structures

Principal Associate, Data Science – Model Risk Office

• Own the Allspice platform ecosystem and high-throughput capabilities delivering personalized credit card offers at scale
• Partner with engineers, data scientists, and marketers to build resilient systems
• Launch, test, and scale credit card offers across millions of interactions
• Navigate complex technical landscapes to build elegant, resilient, and scalable features
• Reimagine and innovate product solutions based on internal and external customer needs
• Deliver business outcomes through leverage and execution excellence
• Leverage technology to deliver innovative and resilient solutions
• Identify and resolve complex problems while mitigating product risks
• Lead cross-functional teams to solve customer problems and drive organizational alignment