Sr. Lead Machine Learning Engineer

Overview Senior Manager, Data Analysis - Network Platforms and Product Operations

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.

At the Discover Global Payment Network, data is the engine that powers our core platforms and products. As a Senior Manager, Data Analysis within the Platform Operations Tower, you will be the technical architect and strategic leader responsible for helping transform massive, high-volume transactional data streams into core analytical assets.

Operating alongside our Senior Managers of Business Analysis, you will own data strategy, architecture, and modeling frameworks for core network platforms, value-added services, and servicing portals. You will establish the technical roadmap for monitoring and anomaly detection, optimize complex backend operational data schemas, and serve as a technical interface with the Central Data & Governance teams. 

On a given day you will be:

• Refining the analytical assets and core monitoring framework across the Network Platforms and Products (NPP) tower.

• Planning and executing data architecture and automated platform monitoring projects.

• Assessing the quality, scalability, and performance of real-time transactional data logs (e.g., auth, settlement, and portal logs) and the nature of their usage across product domains.

• Understanding complex technical issues and gaps in network data and proactively assessing data-driven risks, anomalies, and operational optimization opportunities.

• Communicating technical results and data trends clearly and concisely both verbally and through written communications via operational reports, dashboards, and executive presentations.

• Partnering with the Central Global Analytics team to align local NPP data assets with enterprise data strategy, cloud infrastructure, and global governance mandates.

• Coaching and mentoring technical staff, setting high engineering standards for data utilization across the team.

An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. 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

• Has Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 5 years of experience performing professional data analysis work

• At least 5 years of experience leading and developing with open source data technologies 

• At least 2 years of experience managing people

Preferred Qualifications: 

• Master’s Degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or a related field 

• At least 7 years of hands-on experience working with high-volume, semi-structured transactional and application log data.

• At least 5 years of experience manipulating, optimizing, and performing analysis with massive, enterprise-scale datasets.

• At least 5 years of experience in financial services industry 

• At least 5 years of experience in developing statistical or econometric models 

• At least 5 years of experience in validating statistical or econometric models 

• At least 2 years of experience with data governance 

• At least 2 years of experience with predictive analytics, time-series forecasting, or implementing AI/ML tools in production environments. 

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 

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.

Sales Territory: $182,500 - $208,300 for Sr. Data Analysis Manager

McLean, VA: $200,700 - $229,100 for Sr. Data Analysis Manager

Richmond, VA: $182,500 - $208,300 for Sr. Data Analysis Manager

New York, NY: $219,000 - $249,900 for Sr. 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.

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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).