Capital One

Financial Planning and Analysis

• Responsible for financial forecasting, executive reporting and presentation
• Relationship building and managing junior associates
• Manage P&L performance and provide financial insights to influence strategy
• Communicates analytic insights through clear, high impact, “executive-ready” presentations
• Attract, manage, coach, and develop direct reports
• Ownership of budget and forecast accuracy for areas of responsibility

Senior Manager, Financial Analysis – Enterprise Products & Experiences

Data Engineer

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions in full-stack development
• Lead a team of developers with experience in machine learning, distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services
• Share passion for tech trends and mentor other members of the engineering community
• Collaborate with digital product managers to deliver cloud-based solutions that drive powerful experiences

Senior Lead Data Engineer – Enterprise Risk Management

Human Resources

• Analyze and report on talent data for HR Business Partners
• Manage process communications and create templates for local core HR process communications
• Support client-facing HR Business Partners with inquiries and requests
• Lead meetings such as weekly Horizontal Delivery meetings
• Partner with Talent and Performance Management Champions to design and execute the annual talent and performance calendar
• Develop communications and training materials for managers and associates
• Prepare consolidated summaries for business leaders to describe outcomes of talent conversations
• Review survey data and partner with HR Business Partners to develop insights
• Manage project work-streams in support of team goals
• Provide feedback to help drive continuous improvement of programs

Senior Associate, Horizontal HR Business Partner

Product Designer

• Own the Front-End Car Funnel: Drive the end-to-end user journey for car rentals across Brex and Capital One portals, from initial search and discovery to checkout and confirmation.
• Intelligent Merchandising: Define how car rental inventory, rates, and add-ons (insurance, fuel options, etc.) are structured, prioritized, and displayed to users to maximize engagement and conversion.
• Bridge the Complex to the Simple: Collaborate closely with the existing backend supply team to translate technical API capabilities and negotiated rates into clean, intuitive UI/UX features.
• A/B Testing & Optimization: Constantly analyze customer behavior, drop-off points, and checkout funnels to run experiments that improve the digital product experience.

Product Manager – UX/UI, Merchandising

QA Engineer

• Own the end-to-end platform integration and roadmap execution required to successfully onboard conversational AI solutions onto our enterprise quality assurance platform
• Support the development of advanced "AI QA on AI" capabilities
• Design the systems that allow our automated QA platform to keep pace with rapid coverage expansion

Senior Product Manager – Conversational AI, Servicing Quality Assurance

Marketing Operations

• Oversee Capital One’s portfolio of more than 20+ affiliates
• Serve as the central point of contact with different affiliate partners
• Manage communication strategy with affiliate partners
• Hold regular meetings and manage email communication
• Attend and meet with partners at key industry conferences
• Provide regular feedback to affiliate partners
• Monitor performance and market trends for optimization recommendations
• Manage payout changes and allow list with affiliate partners
• Research, recruit and onboard new affiliate partners
• Manage bi-annual process to review affiliate performance
• Support technical integrations as needed
• Manage the creative development process with affiliate partners
• Ensure affiliate partners meet compliance requirements
• Conduct monthly audits of vendor work
• Oversee legal review process for content produced by affiliates
• Maintain a complete and accurate list of monetized URLs
• Complete ongoing monitoring and reporting to ensure compliance

Senior Manager – Affiliate Marketing Operations, Relationship Management, Compliance

• Lead a team of associates providing in-depth financial analysis and strategic planning
• Synthesize and communicate data-driven insights to advise business leaders
• Provide reporting, analysis, and forecasting to facilitate decision making
• Partner cross-functionally to assess opportunities and risks
• Ensure quality financial reporting and forecasting deliverables

Senior Manager, FP&A – Commercial Bank Finance

Risk

• Identify and mitigate potential risks to Capital One
• Risk Consulting to one or more Business Areas
• Coordinate with the applicable risk office and second line of defense to define/implement remediation activities
• Monitoring and Reporting of Retail Deposit Compliance efforts
• Lead change control efforts at the process level to ensure impacts are appropriately assessed, documented and implemented

Principal Risk Specialist

Project Manager

• Effectively manage scope, schedules, prioritization and capacity management across the end to end workflow of intent and supporting delivery teams
• Lead and orchestrate communication delivery of intent to ensure flawless execution across all delivery channels (ie: digital, direct mail, statements etc)
• Partner with project stakeholders to provide strategic and tactical recommendations in support of project delivery
• Design, develop, and manage project plans in a complex dynamic environment, revising needs to meet changing requirements
• Ensure projects are being documented appropriately to mitigate risk and are delivered on time

Principal Associate, Project Management – Integration Campaign Delivery Lead

Business Analyst

• Apply strategic and analytical skills to major company challenges
• Team with world-class professionals to develop and test strategies impacting the bottom line
• Perform modeling/analytics for product and pricing strategies
• Support direct-to-consumer marketing efforts
• Create risk models and perform analysis for credit performance improvements
• Collaborate across Capital One to drive improvements

Senior Business Analyst – Global Payment Network, Global Sales Enablement

Data Analyst

• Perform data analysis in an Agile environment
• Build reports and provide data capability for Regulatory requirements
• Perform reporting, analysis, and data validations
• Leverage analytic and technical skills to innovate and build data solutions
• Partner with business customers to drive strategic business direction
• Use Open Source/Digital technologies to mine complex, voluminous data sources
• Collaborate with Tech teams to manage security mechanisms and data access governance
• Monitor and report on data quality

Senior Data Analyst – Finance

Account Executive

• Providing dedicated operational support to various stakeholders, including acquirers, network partners, issuers and processors
• Conducting research on complex situations and troubleshooting issues related to end-to-end transaction processing, acceptance complaints and issuer launches
• Supporting business development through the onboarding of new franchises, issuers, acquirers, processors, and software vendors, as well as assisting with contract negotiation and due diligence
• Managing compliance with operating rules and regulations, coordinating certification and supporting participants through the semi-annual release process
• Leading internal projects, ensuring documentation meets auditing requirements, and serving as a Subject Matter Expert (SME) on key authorization and settlement applications, internal systems and tools
• Managing strategically important partners and driving continuous improvement by seeking holistic solutions for client-impacting issues
• This is a client-facing role requiring approximately 10% travel

Lead Account Executive – Merchant and Acquirer Support

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 Data Scientist, AI Foundations

Backend Engineer

• Shape and advance the technical vision and long-term roadmap for Enterprise Architecture tooling
• Design and champion enterprise-wide architectural patterns
• Oversee and de-risk the architectural design, testing, deployment, and optimization of highly critical distributed systems
• Maintain deep technical expertise and actively write code
• Collaborate seamlessly with digital product managers, engineering teams, data scientists, and risk/governance partners

Senior Lead Software Engineer, Full Stack – Golang, Python, GenAI

Platform Engineer

• Lead the technical delivery of a centralized DLP platform that standardizes how data protection policies are authored, how findings are routed and scored, and how enforcement is applied across the program
• Design and build platform services using Python, AWS serverless and container infrastructure (ECS Fargate, Lambda, Step Functions, Aurora PostgreSQL, EventBridge), and infrastructure as code (CDK)
• Define interface contracts between platform components and existing production systems, ensuring clean integration boundaries
• Make architectural trade-offs that balance delivery speed, operational reliability, and regulatory defensibility
• Drive engineering decisions on schema design, API boundaries, deployment strategy, and platform lifecycle management
• Partner with DLP policy experts to translate data protection requirements into platform capabilities that produce consistent, auditable outcomes
• Establish engineering practices for the platform: CI/CD pipelines, testing strategy, deployment automation, observability
• Manage dependencies on adjacent teams and systems, unblocking delivery when external integration points stall
• Communicate platform strategy and progress to senior leadership, translating technical decisions into business impact
• Grow into people leadership as the team expands, building engineering culture and developing talent