Capital One

Manager

• Analyze financial statements and property operating statements
• Conduct property inspections
• Review reserve draws
• Process lender consent requests
• Manage client relationships and enforce loan requirements
• Perform ongoing risk analysis and monitoring
• Prepare loan and portfolio level status reports
• Comply with Investor monitoring and reporting requirements

Agency Asset Manager I

Security Engineer

• Support and execute the mission providing oversight of Cyber priorities
• Serve as an expert in Capital One’s Information Security capabilities, solutions, policies, procedures, and standards
• Partner with customers & stakeholders to anticipate their objectives and needs to better serve their needs
• Provide monitoring and reporting on various cyber initiatives
• Build relationships vertically and horizontally both within FS and the Capital One enterprise
• Maintain awareness and tracking of enterprise cyber initiatives that could impact the FS Division, communicating them as required
• Maintain a continuous service improvement mindset; seeking out improvement and efficiency opportunities at all times
• Lead and collaborate with various teams to drive the execution to improve, create, and validate requirements, processes, controls, and metrics to measure process efficiency and effectiveness
• Drive projects end-to-end, which may include the creation of formal process documents
• Proficiently tailor verbal and written communications to audience needs and levels
• Develop and deliver presentations to peers, customers, and senior leadership
• Provide ad-hoc and special request support as needed
• Provide regular updates to leadership on the status of Cyber initiatives within FS

Senior Information Security Office Consultant, Cyber Risk

Product Manager

• Define the strategy and manage the full lifecycle of the organization’s debit product portfolio
• Deliver growth, customer value, and operational excellence
• Partner closely across the organization to advance high-impact, business-critical initiatives
• Lead a team responsible for portfolio oversight and for shaping priority initiatives

Director, Product Management – Pulse

Project Manager

• Coordinate and drive delivery for high-priority work streams within Business Cards and Payments
• Maintain and manage project plans, routines, and artifacts to ensure seamless delivery in a dynamic environment
• Partner with project customers to ensure tactical alignment and timely delivery of project milestones
• Drive solutions to complex problems across cross-functional teams by applying sound business judgment to navigate trade-offs between competing priorities
• Manage a large set of stakeholders
• Effectively manage scope, schedule, resources and budget
• Communicate status, impediments, and risks/issues across all levels of the program
• Deliver results and influence business outcomes across all levels of the organization
• Influence and manage stakeholders/Intent owners across COF ranging from VP+ to associate

Senior Associate, Project Management – Business Cards & Payments

Machine Learning Engineer

• Participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms
• Focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of machine learning applications
• Continuously learn and apply the latest innovations and best practices in machine learning engineering
• Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
• Inform ML infrastructure decisions using understanding of ML modeling techniques and issues
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
• Retrain, maintain, and monitor models in production
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
• 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 – MLOps, KServe, Kubernetes, PyTorch, TensorFlow, AWS

Full-stack Engineer

• Lead a portfolio of diverse technology projects and a team of developers
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies
• Collaborate with digital product managers
• Deliver robust cloud-based solutions
• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go
• Work with 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

• 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 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

Senior Lead Software Engineer, Full Stack – Enterprise Platform Technology

Operations

• Lead moderate to complex projects, processes and programs
• Responsible for process ownership across Branch and Cafe Operations
• Ongoing scheduled review and maintenance of process and procedures
• Responsible for program level communication planning and ensuring stakeholders are informed
• Accountable for timely execution of the review process and the data integrity within the program
• Responsible for identifying, communicating, and remediating process/project gaps
• Utilize data driven insights to design, develop, and manage process documentation in a complex dynamic environment
• Ensuring processes are being documented appropriately to mitigate risk and to be delivered on time
• Exhibit outstanding influencing skills to effectively drive process/program efforts
• Runs retrospectives and analyzes output of reviews to inform program enhancements
• Have excellent communication and partnership skills which are essential for interacting and communicating with key stakeholders at all levels across the company

Senior Associate, Process Manager

• Develop iOS client code solutions that deliver on Product Strategy and adhere to established engineering best practices, design guidelines and principles
• Partner with Software Engineers, UX/UI, Quality Engineers, Product Owners/Analysts to deliver high performing quality customer experiences that are engaging, purposeful and powerful in their simplicity
• Actively participate in all team agile ceremonies, contributing to ensure that all team commitments are delivered on time and of the highest quality
• Be an active advocate of the mobile platform through both internal and external developer communities
• Remain an active learner in all technologies related to mobile development (Swift, Kotlin, 3rd party libraries, etc.)
• Influence and contribute to group discussions and incorporate feedback/communication from the broader team
• Mentor junior to mid-level members of the team
• Actively engage with developers outside of the local sprint team across various disciplines (Android, iOS, APIs, Web, etc.)
• Own and lead delivery of major components and platform needs in partnership with senior engineers and Architects
• Consistently share best practices and improve processes within and across sprint teams
• Identify technical obstacles early and work closely with the team to find creative solutions
• Review pull requests and ensure adherence to Swift and other language idioms

Lead Software Engineer – iOS, AWS, Swift

Android Engineer

• Develop Android client code solutions
• Partner with Software Engineers, UX/UI, and Quality Engineers
• Participate in all team agile ceremonies
• Advocate for the mobile platform
• Mentor junior to mid-level members
• Own and lead delivery of major components
• Review pull requests and ensure adherence

Lead Software Engineer, Android, Java/Kotlin, AWS

Chief of Staff

• Lead the development and implementation of strategic programs
• Understand prioritization and delivery roadmap
• Influence matrixed stakeholder teams for organizational progress
• Drive organizational processes that enable success
• Partner with communications resources to enhance organizational brand
• Determine feasibility, project, and implementation plans for new projects
• Champion unpopular ideas
• Provide quick understanding of key topics
• Drive organizational change and operational excellence
• Serve as a trusted advisor with stakeholders and leaders
• Inspire collaboration and open exchange

Senior Director, Chief of Staff

Data Scientist

• Apply expertise in unstructured data (text, image) to harness the power of open source large language models (LLMs) and visual language models (VLMs)
• Leverage a broad stack of technologies — LangGraph, LlamaIndex, Weights and Biases Weave, Hugging Face, PyTorch, AWS, and more — to automate workflows using huge volumes of text and vision data
• 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.
• Assessing GenAI or LLM-Powered application architectures in production, including best practices for Generative AI development and deployments.
• Define requirements for AI observability, focusing on the traceability of autonomous decisions and comprehensive system audit trails.
• Evaluate the dynamic behavior of AI systems and oversee the development of key continuous monitoring controls and testing, ensuring that non-deterministic outputs and autonomous actions remain within risk appetite.
• Get into the weeds of internal business processes and data operations by guiding annotators to curate high quality, consistent datasets for model training, evaluation, and ongoing AI monitoring.
• Collaborate on a team of data scientists through all phases of project development, from design through training, evaluation, validation, implementation, and maintenance.
• Interact with a variety of internal stakeholders to ensure the alignment of data science solutions with business outcomes.

Senior Associate, Data Scientist – US Card, Applied GenAI

• Leverage a broad stack of technologies, such as, Python, Conda, AWS, H2O, Spark, and more, to reveal the insights hidden within huge volumes of numeric and textual data
• Build statistical and machine learning models to challenge the models in production
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals
• Partner with a cross-functional team of data scientists, credit risk experts, and product managers to deliver a product customers love

Senior Manager, Data Scientist – Credit Review

Financial Planning and Analysis

• Perform core Financial Planning & Analysis (FP&A) duties for the organization
• Manage monthly processes & forecasts
• Perform reporting and analysis to support presentation and ad hoc requests
• Prepare profit & loss or other statements
• Build reports for higher level associates
• Conduct scenario planning to strategically advise senior leaders
• Partner with business customers on driving strategic business direction that leads to sustainable performance
• Challenge current processes to be more proactive, effective and efficient

Senior Associate, Financial Analysis

Analyst

• Performs property operating statement analysis
• Assists Asset Managers in obtaining and reviewing documentation to satisfy loan covenants, including guarantor financial analysis
• Responsible for monitoring repair due dates per the loan documents and resolving all repairs including client communication, preparing complete supportable consent requests as needed, and collecting and reviewing required documentation to support satisfaction requirements
• Responsible for reviewing deferred maintenance completion documentation and updating results in the applicable tracking system
• Performs detailed loan set-up for new loans including identifying special loan items and recording basic loan information into the tracking system
• Provides analytical support to a team of Asset Managers
• Manages all Freddie mailboxes ensuring timely response to Master Servicers and Freddie Mac
• Oversees 3rd party vendor on the execution of the annual loan compliance processes and other processes to ensure timely and thorough execution
• Assists Team Leader in compiling information for investor audits, as needed
• Handles special projects as assigned by Team Leader