Top Internships

Lead FP&A for Enterprise Risk and Risk Technology: own budget, forecast, reporting, variance analysis, cost models and scenario planning; communicate insights, support decision-making, manage ad-hoc analysis and presentations, and partner with senior leaders.

The Principal Associate will perform FP&A duties, manage monthly forecasts, conduct analysis, and report financial performance to leadership.

Responsible for validating payment network models, including fraud and AML. Engage with stakeholders, improve model accuracy, and leverage innovative technology for data analysis.

Build and deploy NLP and machine learning models end-to-end, leveraging open-source LLMs, RAG, and evaluation frameworks. Partner with engineers, analysts, and product managers to deliver AI-powered HR tools, using Python, SQL, AWS, LangChain, Hugging Face, VectorDBs, and deep learning frameworks to inform people strategy and talent decisions.

Lead and execute recruiting strategy for a specific segment, manage and coach recruiting teams, consult with business clients, meet hiring metrics (volume, quality, cost), and lead recruitment-related projects and program management efforts.

Lead full-stack design and development for Capital One's travel platform, owning architecture, implementing front-end and back-end features, improving engineering tools and practices, mentoring junior engineers, and integrating with partners like Brex while leveraging cloud services and databases.

Build and validate statistical and machine learning models for credit card loss forecasting. Partner with engineers and product managers to modernize loss forecasting, transform data, automate insights, support model governance, and communicate model risks to stakeholders and executives.

Create and deliver integrated marketing creative across print and digital channels. Collaborate with writers, strategists, and business partners to develop strategy-driven design, manage multiple deadlines, present work, incorporate feedback, and maintain brand consistency while optimizing for customer experience.

Build and validate statistical and machine learning models for credit card loss forecasting, modernization, and allowance (CCAR). Partner with data scientists, engineers, and product managers to transform data, automate insights, support model governance, and present model risk impacts to executives using cloud and big-data tools.

Lead Developer Experience product strategy to improve developer productivity across deployment pipelines. Engage stakeholders, define product features, work with engineering and design, set success metrics, drive adoption, build business cases, and operationalize product metrics to enable secure, self-service developer tooling.