Principal Risk Specialist jobs at Capital One in United States, Arlington

Capital One, a Fortune Magazine “100 Best Companies to Work For,” is seeking an innovative Principal Associate to drive product marketing strategy for card products designed for those with fair credit. This individual will curate acquisitions experiences that meet the needs of the everyday consumer looking to access credit and earn rewards. This role will be responsible for translating audience insights into marketing optimizations, designing learning agendas and collaborating with partners to launch new tactics. The marketer will be a member of the Mainstreet Product Marketing team which is responsible for managing the product positioning for credit cards, developing an acquisition journey to help customers find the right product for their lifestyle. In this role, you will have the opportunity to take your marketing, technical and strategy skills to the next level.

• Craft marketing strategy for credit card acquisitions, from building consideration through conversion

• Synthesize consumer research insights, marketing trends, competitive landscape, and macro external factors to identify new strategic recommendations to improve marketing, business results and brand impact

• Collaborate with business analyst teams to understand total business performance and build on analysis to identify new opportunities and adjust marketing/testing strategies

• Serve as key liaison for and collaborate with cross-functional teams including business, channel/performance marketing, product marketing, creative, legal, operations and corporate communications partners

• Translate and communicate business intent in a directive manner that partner teams can act on

• Partner with internal and external creative and marketing technology teams to build and scale marketing tactics and optimization to drive lifts in KPIs, particularly conversion metrics

• Champion the brand, ensuring that the strategies and messaging for each of our credit cards are in line with their respective audience’s needs

• Write clear and concise creative briefs, test documents, test plans and strategies, driving continued performance and optimization against KPIs across channels

The ideal candidate:

• Thrives on collaboration with partner teams and is comfortable operating in a large, matrixed organization

• Has experience working with colleagues at varying levels, including senior leadership

• Can operate in white space with limited support and contribute to the agenda

• Is naturally curious, always seeking to know the why behind the why

• Can manage the details of multiple projects, deadlines and changing priorities, while maintaining excellent and accurate work

• Is a highly effective communicator and skilled relationship-builder who can influence internal decision makers with formal recommendations and informal networking

• Does not shy away from data but rather leans into it to inform marketing and creative strategy recommendations

• Continually pushes the boundaries and asks how we can continue to do things better, identifying areas of opportunity

Basic Qualifications:

• Bachelor’s Degree or Military Experience

• At least 4 years of experience in product marketing or multi-channel digital marketing

• At least 4 years of experience developing marketing test frameworks, driving optimization plans and strategy

• At least 4 years of experience managing marketing intent, partnering with creative and channel teams, and developing strategies and briefs

Preferred Qualifications:

• Masters degree in Marketing, Business or Communications

• At least 2 years of experience marketing for financial services or another highly regulated industry

• At least 2 years of experience working with cross-functional teams in a matrixed environment with a track record of effectively working autonomously and navigating ambiguity

• At least 1 year of experience working with marketing tech platforms, including data management platforms or customer relationship management systems
  

. 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.

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, 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 5 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 3 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)

Preferred Qualifications:

• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)

• At least 1 year of experience working with AWS

• At least 3 years’ experience in Python, Scala, or R

• At least 3 years’ experience with machine learning

• At least 3 years’ experience with SQL

. 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.

Responsibilities:

• Respond to incoming security concerns and track outcomes.

• Monitor a wide network of security alarms and cameras to identify and resolve threats

• Synthesize large amounts of information quickly

• Create a comprehensive records of security-related incidents

• Coordination of routine and critical incident communications

• Understand the proper use of security related tools and procedures

• Escalate to supervisors when appropriate

• Implement security and access control procedures

Basic Qualifications:

• At least 3 years of experience with customer service

• At least 1 year of security operations experience

• At least 1 year of experience with Microsoft Office or Google Suite

Preferred Qualifications:

• 3+ years of experience in the security field

• 1+ year of experience with emergency communication operations

• 1+ year of experience with situational awareness tools (ex: NC4, VCC)

. 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.

Roles and Responsibilities

• Play a leadership role through partnership and close collaboration with Legal client leaders to execute on local talent strategies, key initiatives, and focus area mobilization

• Partner with leaders on driving critical project work forward aligned to Legal’s strategic priorities

• Mobilize and lead ad-hoc projects and programs

• Drive critical HR processes within the Legal team, helping leaders understand how to support themselves on their most common needs

• Partner with Talent and Performance Management Champions to design and execute the annual talent and performance calendar of activities

• Partner closely with Legal leaders and Chiefs of Staff to drive talent agendas forward

• Build relationships and become a primary HR leader among Legal teams for broader leader and associate population

• Own data collection, analysis, reporting, and process improvements focused on influence and storytelling to drive critical outcomes

• Interact with partner groups, stakeholders, and HR Business Partners to keep all informed, well-managed, and consistent in their processes

• Guide leaders and associates through navigating behavioral and talent items and gather themes to drive change over time at scale

• Provide updates to partners and HRBPs on themes within client group and make recommendations on where we may adjust support models at various times to meet needs

• Other miscellaneous - deck writing, communications, answering stakeholder questions regarding our processes or systems, etc.

Basic Qualifications

• High School Diploma, GED, or equivalent certification

• At least 2 years of client facing experience OR at least 2 years of consulting experience OR a combination

• At least 2 years of experience in Human Resources

Preferred Qualifications

• Bachelor’s Degree or military experience

• MBA or Master’s degree

• Professional Human Resources Certification or Project Management Professional Certification

• 3+ years of experience in Human Resources

• 3+ years of experience in Project or Process Management

• 3+ years of experience in client-facing consulting experience

. 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.

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

. 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.

On the Commercial Card Design team, we believe managing a corporate card program should feel effortless. We're seeking a hands-on, craft-focused product designer to make that belief a reality by shaping a platform that serves everyone from everyday employees to senior finance leaders. In this role, you'll own the end-to-end design of new features and core workflows, transforming complex problems into elegant and intuitive solutions. You’ll ground your decisions in deep user insights, apply your passion for craft, and leverage our design system to ensure consistency and scale, all in close partnership with research, product, tech, and design peers.

As a Product Designer, you’ll combine your craft expertise with an understanding of our customers and the business to co-create innovative solutions to complex problems.

Here are some of the expected competencies for this role:

Product Design Expertise:

Present work to audiences across levels and job functions using a human-centered approach that integrates design frameworks, data and research insights to effectively articulate insights and design decisions

• At least 3 years of experience in a Product Design role

• At least 3 years of experience with design and prototyping tools, such as Figma

Preferred Qualifications

• At least 4 years of experience in a Product Design role

• At least 4 years of experience with design and prototyping tools, such as Figma

• At least 4 years of experience collaborating with product, tech and business partners

• At least 4 years of experience working with an established design system

• Experience working in heavily regulated, data heavy problem spaces

. 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.

On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management:

Innovation

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence

• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

• Drive analysis that provides meaningful insights on business strategies

Data Management

• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

• Build and execute tools to monitor and report on data quality

Our ideal candidate will have:

• Degree specialized in a Science, Technology, Engineering, Mathematics discipline

• Scripting experience in (Python, R, Spark, and SQL)

• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

• Experience utilizing and developing within AWS services

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 3 years of experience working with at least one scripting language

• At least 3 years of experience utilizing a business intelligence visualization tool

• At least 3 years of experience in querying, analyzing and working with data languages and platforms

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 4 years of experience coding in Python, R, Spark, or SQL

• At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.

• At least 2 years of experience utilizing and developing within AWS services

• At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

. 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.