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Manager, Product Management (PXDP50)
In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:
Human Centered- Obsesses about internal and external customer needs to reimagine and innovate product solutions
Business Focused -Delivers game-changing outcomes by focusing on leverage and execution excellence
Technology Driven -Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value
Integrated Problem Solving- Identifies and resolves complex problems to deliver outcomes while mitigating product risks
Transformational Leadership -
Basic Qualifications:
At least 3 years of experience working in Product Management
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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What You’ll Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
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 Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Basic Qualifications:
Bachelor’s Degree
At least 3 years of professional software engineering experience (Internship experience does not apply)
Preferred Qualifications:
5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
1+ years of experience with AWS, GCP, Azure, or another cloud service
3+ years of experience in open source frameworks
2+ years of experience in Agile practices
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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Responsibilities:
Lead and/or execute compliance related audits within Capital One, including the supervision of audit staff on related audit engagements.
Proactively monitor the assigned audit universe for changing risks and needed updates. Lead continuous monitoring activities and updates to risk assessments, audit universe, and audit plan.
Direct business unit and project audits across assigned portfolios.
Review engagement planning documentation and audit programs to ensure adequate coverage of risk and sufficient rationale for audit scope.
Supervise and coordinate work assignments amongst audit team members. Provide timely feedback, on-the-job training and coaching to audit staff and direct reports.
Establish and maintain good relationships with key business and audit partners. Leverage specialized knowledge and skills, providing management with insight into their area of subject-matter focus. Effectively represent internal audit at management meetings, internal forums, and to external organizations.
Assess relevance of audit findings, potential exposures, materiality, improving or deteriorating trends, and demonstrate awareness of big picture issues. Interpret business priorities, anticipate issues and obstacles, and apply to scope of role.
Deliver appropriate, succinct and organized information, tailoring communication style to audience. Effectively review and compile relevant, material findings and recommendations into readable and concise audit reports. Communicate complex results and implications, incorporating different perspectives into deliverables.
Manage timely and quality delivery of multiple tasks, including audits, projects, special assignments, and administrative activities. Self-prioritize and independently complete multiple tasks across the team and department. Demonstrate the ability to successfully meet deadlines.
Here’s what we’re looking for in an ideal teammate:
You are a critical thinker who seeks to understand the business and its control environment.
You believe insight and objectivity are core elements to providing assurance on the effectiveness and efficiency of Capital One’s governance, risk management, and internal control processes.
You possess a relentless focus on quality and timeliness.
You adapt to change, embrace bold ideas, and are intellectually curious. You like to ask questions, test assumptions, and challenge conventional thinking.
You develop influential relationships based upon shared risk objectives and trust to deliver outstanding business impact and elevate Audit’s value proposition.
You’re a firm believer that a rich understanding of data, innovation, and technology will only make you a better auditor. This will require leveraging the power of data analytics and furthering your technical expertise.
You’re a teacher. You do the right thing and lead by example. You have a passion for coaching and investing in the betterment of your team. You lead through change with candor and optimism.
You create energy and an environment that fosters trust, collaboration, and belonging, making it easy to attract, hire, and retain top talent.
Travel Expectations:
This role is hybrid. Associates are expected to spend a minimum of 3 days per week in-person at one of our offices listed on this job posting Monday though Thursday. Fridays are enterprise- wide virtual work days.
Basic Qualifications:
Bachelor’s degree or military experience
At least 10 years of experience in auditing, at least 10 years of experience in compliance or at least 10 years of experience in risk management
At least 5 years of experience in Anti-Money Laundering (AML), Sanctions and Fraud compliance
At least 5 years of experience in banking or financial services
At least 3 years of experience in people management
At least 3 years of experience managing audit engagements
Preferred Qualifications:
Master’s Degree in Accounting, Finance, Economics, or Business Administration
Professional Certification such as Certified Anti-Money Laundering Specialist (CAMS), Certified Fraud Examiner (CFE), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or Certified Regulatory Compliance Manager (CRCM)
Experience with consumer compliance, privacy and conduct risk management
15+ years of experience in internal auditing, regulatory compliance, first or second line risk management, or a combination
7+ years of experience in banking or financial services
7+ years of experience in leadership or supervisory roles
10+ years of experience in Bank Secrecy Act (BSA), Anti-Money Laundering (AML) , US PATRIOT Act, and Office of Foreign Assets Control (OFAC) requirements
1+ years of experience conducting international audits and interacting with foreign regulators
3+ years of experience with data analytics tools in support of internal audit
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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As a Talent Assessment team member, you’ll work closely with Talent Acquisition partners and other I/O Psychologists to design and deliver innovative selection strategies to support our shared business goals. With an emphasis on quantitative and qualitative analysis, you’ll support the design, validation, and implementation of assessment tools and processes to help ensure Capital One secures outstanding and diverse talent across our enterprise.
You’ll have the opportunity to consult with Talent Acquisition and other HR partners on selection projects, process improvements, reporting and analysis tools, and other initiatives focused on improving the candidate experience and enabling best practices in the pre-employment assessment space.
As a Talent Assessment team member, your main responsibilities include, but are not limited to:
Developing and maintaining large data sets for analyses on various selection and assessment programs
Serving as an analyst for selection tool evaluation and reporting, including business impact analyses for selection solutions and programs
Communicating results of statistical analyses, along with their implications, to technical and non-technical audiences
Participating in the design, development, validation, testing, and implementation of practical, effective, defensible, and candidate-friendly products and selection tools and processes
Successful team members demonstrate competencies in these areas:
Analysis: Identify opportunities for improvement and use data to make strategic and tactical recommendations
Execution: Develop and test hypotheses, design solutions, assess operational feasibility, lead implementation efforts, and develop plans and tools for monitoring outcomes
Partnership: Collaborate with colleagues across Capital One including: HR, Technology, Sales, Operations, Finance and others to drive candidate experience improvements and business results.
Strategic & Analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation.
Business communication: Impeccable written and oral communication skills, including strong visualization skills (i.e., able to “tell the story” and highlight key insights in a clear and concise manner that is easily understood by stakeholders at all levels across the organization and with varying levels of technical savvy).
Results focus: Drives for results and achieves important goals applying strong organizational skills and detail orientation
Basic Qualifications:
Master's degree
At least 1 year of employee selection and assessment work experience
At least 1 year of data analysis experience conducting analyses, and building statistical models in R, Python, or SQL
At least 1 year of experience in consulting with external or internal clients across a variety of seniority levels and technical experience
Preferred Qualifications:
PhD in Industrial and Organizational Psychology, Organizational Behavior, or other technical or quantitative discipline, including but not limited to Cognitive Science, Neuroscience, Economics, Behavioral Economics, Mathematics, Physics, Biology, Chemistry or Statistics
2+ years of employee selection experience
Knowledge of a variety of employee assessments and methods
Knowledge of advanced statistical methodologies, including regression, longitudinal analysis, or Bayesian modeling
Proficiency in Python
Proficiency in using Google Suite
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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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, 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.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
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.
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.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
Currently has, or is in the process of obtainingone of the followingwith an expectation that the required degree will be obtained on or before the scheduled start date :
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 9 years of experience performing data analytics
A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
At least 6 years of experience leveraging open source programming languages for large scale data analysis
At least 6 years of experience working with machine learning
At least 6 years of experience utilizing relational databases
Preferred Qualifications:
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 6 years of experience in data analytics
At least 1 year of experience working with AWS
At least 5 years of experience managing people
At least 5 years of experience in Python, Scala, or R for large scale data analysis
At least 6 years of experience with machine learning
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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What You’ll Do:
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
Basic Qualifications:
Bachelor’s Degree
At least 3 years of experience in application development (Internship experience does not apply)
At least 1 year of experience in big data technologies
Preferred Qualifications:
5+ years of experience in application development including Python, SQL, Scala, or Java
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
2+ year experience working on real-time data and streaming applications
2+ years of experience with NoSQL implementation (Mongo, Cassandra)
2+ years of data warehousing experience (Redshift or Snowflake)
3+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience with Agile engineering practices
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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What You’ll Do:
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 Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Basic Qualifications:
Bachelor’s Degree
At least 6 years of professional software engineering experience (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:
Master’s Degree
9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
3+ years of experience with AWS, GCP, Azure, or another cloud service
4+ years of experience in open source frameworks
1+ years of people management experience
2+ years of experience in Agile practices
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
These jobs might be a good fit

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Manager, Product Management (PXDP50)
In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:
Human Centered- Obsesses about internal and external customer needs to reimagine and innovate product solutions
Business Focused -Delivers game-changing outcomes by focusing on leverage and execution excellence
Technology Driven -Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value
Integrated Problem Solving- Identifies and resolves complex problems to deliver outcomes while mitigating product risks
Transformational Leadership -
Basic Qualifications:
At least 3 years of experience working in Product Management
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
These jobs might be a good fit