Director Payment Network Technology Risk jobs at Capital One in United States, Arlington

Senior Software Engineer, Back End (Enterprise Platforms Technology)

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

McLean, VA: $158,600 - $181,000 for Senior Software Engineer Richmond, VA: $144,200 - $164,600 for Senior Software EngineerThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.

Audit Director, Financial Crimes Compliance

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

Charlotte, NC: $181,800 - $207,500 for Audit Director Chicago, IL: $181,800 - $207,500 for Audit Director McLean, VA: $200,100 - $228,400 for Audit Director New York, NY: $218,300 - $249,100 for Audit Director Plano, TX: $181,800 - $207,500 for Audit Director Richmond, VA: $181,800 - $207,500 for Audit Director Riverwoods, IL: $181,800 - $207,500 for Audit DirectorThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.

Senior Associate, Data Scientist - Model Risk Office

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:

• 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.

• 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 2 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

Preferred Qualifications:

• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)

• Experience in Python, Scala, or R

• Experience with machine learning or statistical modeling

• Experience working with AWS or other cloud computing platforms

• Experience with SQL

McLean, VA: $133,000 - $151,800 for Sr Assoc, Data ScienceThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.

Senior Associate, Talent Assessment

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

McLean, VA: $109,000 - $124,400 for Sr. People Scientist New York, NY: $118,900 - $135,700 for Sr. People ScientistThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.

Senior Director, Data Science

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

McLean, VA: $308,700 - $352,300 for Sr Dir, Data Science Richmond, VA: $280,600 - $320,200 for Sr Dir, Data Science New York, NY: $336,700 - $384,200 for Sr Dir, Data ScienceThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.

Senior Data Engineer (Enterprise Platforms Technology)

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

McLean, VA: $158,600 - $181,000 for Senior Data Engineer Richmond, VA: $144,200 - $164,600 for Senior Data EngineerThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.

Senior Lead Software Engineer, Back End (Enterprise Platforms Technology)

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

McLean, VA: $225,400 - $257,200 for Sr. Lead Software Engineer Richmond, VA: $204,900 - $233,800 for Sr. Lead Software EngineerThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.