Capital One

Cloud Engineer

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Work with a team of developers with deep 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 such as Redshift and Snowflake
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Lead Data Engineer – Risk Tech, Python, AWS

Product Manager

• Develop business strategies that will drive growth, profitability, and competitive success
• Have an ownership mindset and potentially P&L accountability for a business segment
• May manage and develop a team of analysts
• Develop and implement new product and pricing strategies for various lending products
• Lead direct to consumer marketing efforts for select products
• Drive improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior
• Coordinate across the line of business to manage and sequence delivery of business intent
• Work closely with colleagues across Capital One including: IT, Sales, Operations, Finance

Senior Business Manager, Bank Product

• Own the operational engine for L&D strategy
• Collaborate with delivery team to improve associate experience
• Drive feature development roadmaps and manage risk
• Conduct research and develop tech-driven features
• Facilitate relationships among tech teams and stakeholders

Senior Associate, Product Management – Learning & Development

• Own the L&D product strategy and roadmap
• Connect learning priorities across Talent, Performance, and business strategy
• Shape and execute the strategy to enable associate growth

Senior Manager, Product Management – Learning and Development Strategy, Associate Growth

IT Support

• Execute major components of audits, including critical technology functions and cyber security
• Perform risk assessments and document client processes
• Prepare clear documentation to support work performed
• Communicate audit results to management via reports and presentations

Senior Audit Manager – Cyber, Risk & Analysis

Full-stack 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
• 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 JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Lead Software Engineer, Full Stack – Risk Tech

Risk

• Apply your risk management, project management and analytical skills to high profile risk initiatives
• Lead and advise on transformational initiatives across the businesses
• Work with business partners to identify and mitigate potential risks
• Collaborate with various stakeholders to shape risk mitigation strategies
• Develop and implement risk management practices for new products and processes
• Stay abreast of the changing regulatory environment to mitigate risks

Risk Manager – Channels and Shared Services

AI Engineer

• Be a hands-on leader driving the development of next-generation AI solutions for the future of shopping.
• 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.
• 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 JavaScript, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Senior Lead Software Engineer, Full Stack – AI

• Monitor tax payment due dates and facilitate timely payments for both escrowed and non-escrowed loans
• Actively manage delinquent tax reports and tax lien sale lists
• Maintain accurate tax records in the system of record (Strategy) and tax platforms (TaxQ)
• Gather documentation and provide subject matter expertise during internal and external audits
• Manage the monthly and annual Escrow Analysis process

Agency Operations Associate – Real Estate Tax, Escrow Analysis

• 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
• Design, build, and maintain a resilient, high-performance ecosystem that supports aggressive portfolio growth while upholding strict standards of operational excellence.
• Maximize the efficiency, intelligence, and capability of core credit decisioning systems.
• Simplify and modernize backend architectures to significantly compress the feature delivery lifecycle.
• Engineer advanced, flexible frontend capabilities that allow the business to rapidly deploy new applicant user flows, custom segment experiences, and real-time product offers.
• Act as the technical catalyst that transforms raw business intents into scalable software solutions, ensuring engineering teams can pivot and deploy features with maximum agility.
• Drive Technical Excellence: Foster a culture of continuous modernization, guiding cross-functional teams to build modular, reusable codebases that eliminate technical silos across the Acquisitions domain.

Distinguished Engineer – Technical Lead

Machine Learning Engineer

• Guide your team and collaborate with cross-functional stakeholders with a focus on four key areas: Human Centered, Business Focused, Technology Driven, and Transformational Leadership
• Define clear and actionable problem statements to help teams deliver results
• Own and prioritize three-year ML infrastructure and model delivery roadmaps that tie to business outcomes
• Understand and leverage technology to drive comprehensive design decisions on white space technical problems
• Develop and communicate a 3-year vision to senior stakeholders and partner teams
• Attract and recruit top talent, and be intentional about mentoring and developing junior product associates

Senior Manager, Product Management – Machine Learning and AI

• Collaborate with talented data scientists and engineers to develop and deploy machine learning solutions to help support our customers
• Work across teams to build products that enable seamless and scalable model development
• Influence strategic decisions and contribute to building a thriving product practice in support of our overall Machine Learning capabilities
• Collaborate with tech teams to build comprehensive acceptance criteria
• Breakdown business epics into features and further into user stories
• Demonstrate a growth mindset using hypothesis-driven assessment of data
• Own and prioritize feature development roadmaps
• Work autonomously in an agile environment to conduct research and develop features
• Collaborate with designers, technologists, data scientists and subject-matter experts

Senior Associate Product Management – Machine Learning, AI

Manager

• Cultivate 'Every Customer, Every Time': Obsessed with guest experience
• Lead through Behavioral Coaching: Create a supportive, high-energy environment
• Bring the Capital One Brand to Life: Maintain a pristine environment and advocate for brand values
• Lead with an Owner’s Mindset & Drive Continuous Improvement: Manage branches with franchise ownership attitude
• Empower De-escalation & Resourceful Problem-Solving: Build critical thinking in team members
• Embrace Digital Innovation & Simplify the Complex: Coach team on mobile and online banking experiences
• Drive Purposeful Community Impact: Champion volunteerism and connect with local organizations

Market Manager

Collections

• Lead the Personal Loans Collections Strategy team
• Define and execute collections strategies to optimize portfolio performance
• Coach and develop a team of analysts
• Partner with cross-functional teams to deliver solutions
• Develop and implement product and pricing strategies
• Lead marketing efforts for products and develop customer experiences
• Drive improvements in credit performance through analytics
• Manage delivery of business intent and execute product strategy

Business Manager – Personal Loans Collections Strategy

Operations

• Documenting, monitoring and controlling critical process points as defined by business policies and standards
• Educating and gaining buy-in from key stakeholders concerning the utilization of process to ensure appropriate execution
• Leading or engaging in critical departmental or cross-functional organizational initiatives and projects
• Effectively communicating and influencing partners across multiple functional areas
• Identifying opportunities to streamline, automate and enhance data management practices
• Developing and maintaining formal process documentation
• Analyzing data and influencing others to identify risks and trends
• Consulting on well-managed processes and risk management for new intent
• Collecting data to provide transparency to senior leadership on process health