Capital One

At Capital One, we are committed to excellence in everything that we do—including the way we perform as individuals, teams and an organization. Most of all, we are committed to doing the right thing for our customers. These values serve as the cornerstone of our culture.

We know that banking is about relationships and truly understanding customer needs. We also know that every business plays an important role in driving and energizing the local economy.

To that end, we are passionately focused and committed to providing an exceptional customer experience on which we consistently deliver.

Whether you are looking to expand your banking relationship, looking for a new banking partnership, or exploring different business opportunities—we are here to help and look forward to partnering with you.

Full time
Capital One Wilmington, DE, USA
Attributes we are looking for in this individual: Ambitious “figure it out” attitude - ability to independently investigate internal and third-party data sources, technical specs, programming, and operational challenges with limited assistance. Large scale relational database, data lake, data warehouse experience with a strong grasp of SQL, to access, analyze, and assemble data to meet campaign targeting and personalization requirements. Experience in Python or similar programming. Is hands-on with Marketing Technology – installs marketing technology software and knows their way around the tooling. Strong understanding of service-oriented architecture and how (near) real-time integrations work Ability to elaborate on integration specifications and data dictionary Ability to partner with IT engineers to bring a solution blueprint to life Ability to comfortably collaborate with team members in other locations. Analytical problem solver who can clearly identify, analyze, and resolve issues as they arise Critical thinker who can map out the end to end steps needed to bring integrations to life Effective communication and interpersonal skills Passion for ensuring data access and handling is in stringent accordance with financial compliance regulations Basic Qualifications: Bachelor’s Degree At least 3 years of experience in Marketing At least 3 years of experience with SQL At least 1 years of experience working with AWS and S3 Preferred Qualifications: 1+ years experience in ETL 2+ years experience in Spark, Scala or Python 2+ years of experience in data streaming 1+ years of experience using and building APIs, RESTful services 1+ years experience with data ingestion and wrangling and use of tools like Kylo 1+ years of experience working with Salesforce Marketing Cloud  
Oct 11, 2019
Full time
Capital One Wilmington, DE, USA
Team Description The Bank Operations Data Science team builds the machine learning models that run the gamut. We ensure our customers have access to ATMs to withdrawal their funds and deposit them at any hour of the day. Our OCR text parsing models ensure that our bank can reliably adhere to legal requests for funds in a semi-automated fashion at scale. The machine vision models we are exploring may one day allow us to lead the industry in fraud prevention. We build innovative solutions on unstructured text utilizing emerging ML tools like Tensorflow, Tesseract, and Textractor and dabble with CRNN in conjunction with OpenCV to create models that haven’t existed before. Role Description In this role, you will: Partner with operational partners to ensure the hurdles of the real world don’t keep our solutions from driving real business value. 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 Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Customer-first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.  Basic Qualifications: -At least a Ph.D. OR a Master’s Degree and a minimum of 1-year experience OR a Bachelor’s Degree and a minimum of 6 years of experience -At least 1-year experience in open source programming languages for large scale data analysis -At least 1-year experience with machine learning -At least 1-year experience with relational databases -At least 1-year experience with SQL Preferred Qualifications: -3+ years’ experience in open source programming languages for large scale data analysis -3+ years’ experience with machine learning -3+ years’ experience with relational databases -3+ years’ experience with SQL
Oct 11, 2019
Full time
Capital One Wilmington, Delaware, USA
Attributes we are looking for in this individual: Ambitious “figure it out” attitude - ability to independently investigate internal and third-party data sources, technical specs, programming, and operational challenges with limited assistance. Large scale relational database, data lake, data warehouse experience with a strong grasp of SQL, to access, analyze, and assemble data to meet campaign targeting and personalization requirements. Experience in Python or similar programming. Is hands-on with Marketing Technology – installs marketing technology software and knows their way around the tooling. Strong understanding of service-oriented architecture and how (near) real-time integrations work Ability to elaborate on integration specifications and data dictionary Ability to partner with IT engineers to bring a solution blueprint to life Ability to comfortably collaborate with team members in other locations. Analytical problem solver who can clearly identify, analyze, and resolve issues as they arise Critical thinker who can map out the end to end steps needed to bring integrations to life Effective communication and interpersonal skills Passion for ensuring data access and handling is in stringent accordance to financial compliance regulations Basic Qualifications: Bachelor’s Degree At least 6 years of experience in Marketing At least 5 years of experience with SQL At least 1 years of experience working with AWS and S3   Preferred Qualifications: 1+ years experience in ETL 2+ years experience in Spark, Scala or Python 2+ years experience in data streaming 1+ years experience using and building APIs, RESTful services 1+ years experience with data ingestion and wrangling and use of tools like Kylo 1+ years of experience working with Salesforce Marketing Cloud
Sep 30, 2019
Full time
Capital One Wilmington, Delaware, USA
Team Description The  Bank Marketing Data Science team  builds the machine learning models that help our customers learn about the great products and experiences we have to offer. We do supervise learning and reinforcement learning using tech stacks AWS, Airflow, Python, and Spark. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies — Python, Docker, AWS, Airflow, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, implementation, monitoring, and rapid refit Flex your interpersonal skills to translate the complexity of your work into tangible business results that win more customers’ business ​ The Ideal Candidate is: Customer-first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. Your passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Basic Qualifications: - Bachelor’s Degree plus 2 years of experience in data analytics, or Master’s Degree, or PhD - At least 1 year of experience in open source programming languages for large scale data analysis - At least 1 year of experience with machine learning - At least 1 year of experience with relational database  Preferred Qualifications: - Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) - Experience working with AWS - At least 2 years’ experience in Python, Scala, or R - At least 2 years’ experience with machine learning - At least 2 years’ experience with SQL
Sep 30, 2019
Full time
Capital One Wilmington, Delaware, USA
Team Description The  Bank Marketing Data Science team  builds the machine learning models that help our customers learn about the great products and experiences we have to offer. We do supervise learning and reinforcement learning using tech stacks AWS, Airflow, Python, and Spark. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies — Python, Docker, AWS, Airflow, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, implementation, monitoring, and rapid refit Flex your interpersonal skills to translate the complexity of your work into tangible business results that win more customers’ business ​ The Ideal Candidate is: Customer-first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Basic Qualifications: Bachelor’s Degree plus 4 years of experience in data analytics, or Master’s Degree plus 2 years of experience in data analytics, or PhD At least 2 years’ experience in open source programming languages for large scale data analysis At least 2 years’ experience with machine learning At least 2 years’ experience with relational databases Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) At least 1 year of experience working with AWS At least 4 years’ experience in Python, Scala, or R for large scale data analysis At least 4 years’ experience with machine learning At least 4 years’ experience with SQL
Sep 30, 2019
Full time
Capital One Wilmington, Delaware, USA
Responsibilities: Write, design, code, test, implement, debug, and validate applications; document design decisions and develop modular software components; monitor system performance metrics, and identify potential risks/issues. Collaborate in an agile scrum team with product owners and fellow software engineers to deliver upon most important business and technical priorities. Provide active mentorship/guidance to fellow members of the agile tech team and participate in internal and external technology conference & communities. Coordinate and scale the evolving cloud-based solutions with product development teams both internal and external to Capital One. What would you expect to work on here:  Object-Oriented Languages (Java and Go), Cloud-Based Technologies (AWS, DevOps and Serverless), Front End Framework, Cutting Edge Data Tools (Python, Spark) and Machine learning models. As we modernize the existing customer case management system, you will have the opportunity to contribute to the design and development of our target case management platform. Basic Qualifications: Bachelor’s degree At least 5 years of experience in Java and API development At least 2 years of experience in cloud technologies Preferred Qualifications: 2+ years of DevOps experience Demonstrated ability to Influence and collaborate Experience in big data technologies like a spark, Kafka or similar 2+ years of Java scripting experience
Sep 30, 2019
Full time
Capital One Wilmington, Delaware, USA
Who You Are: You are fun to work with – you’re excited by a team environment You are curious. You like to learn new technologies, and you adapt well to change You are passionate about current state-of-the-art software technologies and tools, with experience implementing them effectively You are excited about working with the cloud-native stack, building on AWS using technologies like Kubernetes and Serverless You possess a sense of intellectual curiosity and a burning desire to learn You are motivated and actively looking for ways to contribute You are passionately focused on the customer and the details that make their experience exceptional You value data and truth over ego You possess a strong sense of engineering craftsmanship, take pride in your code You’re pragmatic - you make the best use of time and resources to find the simplest workable solution You think and act like an owner, taking personal responsibility for both team and product success  You possess great communication and reasoning skills, including the ability to influence and make a strong case for technology choices You thrive in collaborative agile teams and are ready to take on new and unexpected challenges while building the next wave of engineering solutions What You’ll Own: Collaborating with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Leading the craftsmanship, security, availability, resilience, and scalability of your solutions Bringing a passion to stay on top of current trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community Encouraging innovation, implementation of cutting-edge technologies, outside-of-the-box thinking, teamwork, and self-organization Assisting in the hiring of top engineering talent and maintaining our commitment to diversity and inclusion Basic Qualifications:  Bachelor’s Degree or military experience At least 5 years of experience in software engineering At least 1-year experience with Amazon Web Services (AWS), Microsoft Azure or public cloud service Preferred Qualifications:  Master’s Degree At least 6 years of experience in software engineering At least 2 years of people management experience At least 4 years of experience in Agile practices At least 6 years of experience in at least one of the following: Java, Scala, Python, Go, Javascript, Angular.js or Node.js At least 6 years of experience in open source frameworks
Sep 30, 2019
Full time
Capital One Delaware, USA
The person we’re looking for: Is passionate about hands-on coding, testing, releasing, monitoring, and supporting working software in production Has depth and breadth of knowledge across multiple software engineering disciplines Is self-driven, actively looks for ways to contribute, and knows how to get things done Values data and truth over ego Has a strong sense of engineering craftsmanship, takes pride in the code they write Believes that good software development includes good testing, documentation, and collaboration Has good communication and reasoning skills, including the ability to make a strong case for technology choices Has the ability to build consensus and iteratively improve solutions Firmly believes in leading by influence and by adding value Basic Qualifications: Bachelor’s degree At least 3 years experience in software development At least 1-year experience building native mobile apps for iOS or Android Preferred Qualifications: 4+ years of experience in agile development and methodologies. 2+ years of experience with test automation frameworks (Cucumber, Mountebank, or similar) 2+ years of experience building consumer-facing mobile software solutions at scale 1+ years of experience with rapid prototyping and interface design testing  Contributions to open-source projects Experience presenting at conferences and meetups
Sep 30, 2019
Full time
Capital One Wilmington, Delaware, USA
Description: The ideal candidate will be able to jump right into a software engineering role. Looking for a strong character who is very assertive and articulates technology well. This person needs to understand the buzzwords not just say/use them. This person should have a focus on performance and needs to know how to build a complete application from the DB through to the front end work with nothing more than a conceptual understanding and visual designs as needed. They should have a passion for learning new technologies, innovating and driving change, and collaborating other developers. Responsibilities: - Full Stack Engineer capable of designing solutions, writing code, testing code, automating test and deployment - Overall delivery of software components working in collaboration with product and design teams - Collaborating with other technology teams to ensure integrated end-to-end design and integration. - Enforcing existing process guidelines; drives new processes, guidelines, team rules, and best practices. - Mentor and raise the game or teammates in all areas - Full participation in the Agile Scrum process including speaking up and giving your opinion! - Ready, willing, and able to pick up new technologies and pitch in on story tasks (design, code, test, CI/CD, deploy, etc) - Able to research and learn new methodologies and technologies and bring knowledge to the team - You’re a tinkerer and love technology - Myo, Amazon Echo, Arduino and IoT, AR/VR, Creative Coding; you like hackathons and innovation sprints! Position Provides Exposure To: - Front End Skills: JavaScript, TypeScript or ClojureScript, CSS, HTML, Single Page Applications (ReactJS, Redux, RxJS, Angular 4), Responsive Design, iOS (Swift), Android (Kotlin) - Back End Skills: Microservices, REST, GraphQL, Node.js, JVM (Clojure, Scala, Java - Spring, Spring Boot, Hibernate, etc.), Database (Postgres, MySQL, etc.), Python, TensorFlow, PyTorch, scikit-learn, NumPy - Data Streaming: Kafka, NiFi, Storm, Hadoop, Spring XD/Spring Batch - DevOps/Platforms:  Amazon Web Services (S3, RDS, EC2, ECS, Lambda, SQS, SNS, DynamoDB, CloudFormation, etc), Terraform, Chef, Docker, Ansible. - Automation Testing: Selenium, Karma, Mocha, Jest, Cucumber, ATDD, Protractor, Automated Performance and Regression/Functional Testing - CI/CD: Jenkins, Artifactory, Nexus - Build Tools: Maven, Gradle, grunt, gulp, git, npm, yarn, lein, boot, Xcode Basic Qualifications: Bachelor’s Degree At least 2 years of Software Development experience Preferred Qualifications: 2+ years of experience with Amazon Web Services 1+ years of experience in developing and testing Restful APIs
Sep 30, 2019
Full time
Capital One Wilmington, Delaware, USA
Responsibilities: Comprehensive knowledge of the functional and technical aspects of the platforms Able to troubleshoot complex hardware and software defects with low supervision Identify technical obstacles early and work to find creative solutions Educate team members (including BSAs, Scrum Masters and Product Owners) on capabilities and constraints of technology platforms Review, analyze, modify, and support systems, including coding, testing, debugging and installing Maintain records to document program development, revisions, system development, and evolution Perform data analytics to support job functions Provides ongoing support to existing systems as needed Monitors operating efficiency of existing systems Defines and maintains system/application configurations Communicate technical info to peers, vendors, and customers Estimate level of effort to meet acceptance criteria Focus on continuous improvement practices as required to meet quality/time to market imperatives Provide 3rd level support as needed, including on-call and after-hours support This role provides exposure to: Full-stack development including provisioning, configuration, and auto deployments Hands-on CICD pipeline maintenance and support Machine Learning tools Container orchestration (Docker, AWS ECS, or Kubernetes) Chef, Ansible, and other continuous deployment tools AWS cloud technologies (Lambda, RDS, S3 bucket administration; EC2; ELB; Security Groups; IGW; ACLs; IAM, ASG, etc) Basic Qualifications: Bachelor’s Degree At least 2 years of experience with programming languages At least 2 years of Linux Administration experience At least 2 years experience with AWS cloud technologies (Lambda, RDS, S3 bucket administration; EC2; ELB; Security Groups; IGW; ACLs; IAM management) Preferred Qualifications: Master’s Degree in Computer Science, Information Systems, or Engineering At least 2 years of experience in Applications Technical Support or Incident Management or Incident Response Team or Release Management At least 1 years of experience in Reporting and Analysis At least 2 years of experience in Resiliency related activities and best practices At least 2 years experience with Python programming language At least 2 years experience with scripting (shell, bash, perl) Active AWS certifications At least 1 year of on-call production support At least 1 year hands-on with Chef / Ansible / any other continuous deployment tools
Sep 30, 2019