Top Internships

The Principal Financial Analyst will manage financial forecasting, reporting, and analysis, partnering with business teams to drive strategic direction and improve processes.

The Manager of Data Analysis leads a team to leverage analytics for improving customer experience, driving strategy, and implementing data models. Responsibilities include data mining, process improvement, and project lifecycle management, all within a collaborative environment.

As a Business Analyst Manager, you will develop strategies, lead product initiatives, and improve credit performance while managing analysts and collaborating across departments.

Design, build, and maintain data solutions to support enterprise risk decisions. Partner with business stakeholders to create dashboards and analyses, apply scripting for data processing, ensure data quality, lineage, and governance, and collaborate with tech teams on security and access.

Lead the Card Tech+ finance team, own budgeting and forecasting, provide strategic financial insights to business partners, analyze cost drivers and financial trajectory, develop associates, and present executive-ready analysis to influence decisions.

Lead full-stack engineering across distributed microservices: design, develop, test, deploy and support solutions. Drive serverless and container initiatives, improve build/deployment pipelines, mentor engineers, debug cross-stack issues, and lead strategic technical projects.

Lead long-term product strategy and roadmap for Business Cards & Payments, prioritize portfolio initiatives, translate customer insights into product requirements, partner across design, research, analytics, and exec leadership, drive credit and financial modeling, oversee execution and stakeholder alignment, and manage/coach a team to deliver business outcomes.

Lead enterprise-scale Generative AI programs from research to production, focusing on multi-agent conversational systems, agentic architectures, pretraining/finetuning, and inference optimization. Drive cross-functional delivery, manage technical risk, establish evaluation and deployment frameworks, partner with risk/compliance, and ensure scalable, secure adoption of AI solutions.

Lead strategy and analytics for consumer identity and fraud prevention. Drive product, credit risk modeling, and cross-LOB data use. Partner with product, engineering, and business teams, manage 1-2 analysts, and deliver analytics-driven decisions to reduce fraud and improve customer experience.

Partner with business and HR leaders to define and execute enterprise learning strategy. Lead design, delivery, and measurement of learning programs, manage multiple initiatives and budgets, drive stakeholder alignment, leverage data and AI insights, and facilitate workshops to improve workforce readiness across matrixed organizations.