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Houston, Texas, United States
Onsite
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
We are seeking a highly analytical and technical Manager, Data Analysis to join our Data Strategy and Risk Innovation team within the PULSE Network organization. In this role, as a Manager, Data Analysis, you will help build the framework and manipulate/analyze large datasets to understand anomalies and risk exposure. This is a hybrid role designed for someone who speaks the language of machine learning, data architecture, and modeling, but also deeply understands regulatory frameworks, risk controls, and compliance mandates. This role is responsible for ensuring that our data-driven strategies are not only highly effective and scalable, but also ethical, explainable, and strictly compliant with industry regulations.
If you are a recovering data scientist who loves policy, or a risk and compliance manager who writes Python on the weekends, this is the role for you. The payment ecosystem is constantly evolving, this role requires a unique blend of deep technical expertise, payment network knowledge, and sharp critical thinking to separate signal from noise.
What you’ll do:
Data Strategy: Drive current and future strategy by leveraging your analytical skills. Design and implement a program for Transaction Monitoring aligned with Risk identification and modification. Build automated risk programs, isolate compromised data elements, and ensure the operational health and integrity of the PULSE network.
Data-Driven Investigations: Conduct root-cause analyses on transactions and translating complex data findings into actionable risk mitigation strategies.
Strategic Advising: Advise product and business teams on the risk implications of new data strategies, alternative data sources, and emerging technologies
Risk Data Architecture: Partner with Data Engineering to design and optimize the architecture of risk data environments. Ensure data used for risk decisioning is accurate, accessible, and structured for advanced analytics.
Executive Reporting: Synthesize highly technical data into clear, compelling narratives and present risk exposure, incident reports, and strategic recommendations to senior leadership.
Critical Thinking & Problem Solving: Proven ability to approach complex, ambiguous problems systematically. You must be able to deconstruct issues, challenge the status quo, and anticipate the downstream impacts of network changes.
The "Translator": Act as the primary liaison between highly technical teams (Data Engineers, Data Scientists) and non-technical stakeholders(Legal, Compliance, Executive Board). Translate complex algorithmic functions into plain-English risk assessments.
On any given day you will be:
Mining data to arrive at specific and crucial information for the organization
Identifying and implementing process, data, and reporting improvements for the organization
Working with large and complex databases containing millions to billions of records
Improving operational efficiencies and effectiveness
Conducting analysis to evaluate processes and tests
An ideal candidate will possess strong problem solving and conceptual
thinking abilities. This position will be in a fast-paced and entrepreneurial
environment where you will be handling multiple concurrent projects while
working independently and in teams.
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 6 years of experience performing data analytics, or
Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
At least 4 years of experience performing professional data analysis work
At least 4 years of experience performing programming
Preferred Qualifications:
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
At least 7 years of professional data analysis work experience
At least 4 years of experience with Python, R, Spark or SQL
At least 1 year of experience in people management
At least 1 years of project management experience
At least 1 year of experience in Tableau
Proficient utilizing and developing within AWS service
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
This role is Hybrid, with associates expected to consistently spend three days per week in the office.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Houston, TX: $149,800 - $171,000 for Data Analysis Manager
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This 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.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).