Top Internships

Lead Capital One's Issue and Event Management program within Enterprise Risk Management. Oversee program governance, drive continuous improvement, root-cause analysis, enterprise reporting, and executive/Board-level communications. Collaborate across lines of defense, lead teams, and implement data and analytics enhancements to identify trends, mitigate risk, and meet regulatory expectations.

Leads DevOps and network automation initiatives, designs multi-cloud connectivity solutions, and develops cloud-based infrastructure using AWS, GCP, Kubernetes, Terraform, Ansible, and CI/CD tools. Responsibilities include mentoring engineers, collaborating with product and Agile teams, implementing full-stack technical solutions, supporting cloud and network infrastructure, monitoring systems, meeting regulatory needs, and participating in an on-call rotation.

Lead a software engineering team and portfolio of technology projects focused on backend systems, distributed microservices, cloud solutions, and regulatory needs. Mentor engineers, collaborate with product managers, evaluate and occasionally write code, and guide adoption of technologies including Java, Python, Spark, AWS, databases, Docker, and Kubernetes.

Leads project and program management for Bank Tech Operations, overseeing enterprise technology backlog intake, transformation programs, executive reporting, escalations, and operating rhythms. Builds scalable processes, supports strategic transitions, advises senior technology leaders, and connects technology priorities with business outcomes. The role requires extensive process, project, program, and people management experience, along with strong analytical, communication, and executive presentation skills.

Lead hands-on software engineering across the full development lifecycle, owning technical design, architecture, and development of fault-tolerant, cross-functional applications. Establish engineering standards, improve developer tools and frameworks, provide technical guidance, and mentor junior and intermediate engineers. The role requires expertise in application or data architecture, cloud platforms, and modern software development practices.

Manage Canada’s privacy compliance program, advising business stakeholders on federal and provincial privacy requirements, privacy impact assessments, regulatory changes, audits, complaints, policies, procedures, training, and regulatory examinations. The role supports the Chief Privacy Officer and Senior Manager while identifying risks, improving processes, and ensuring compliance across Capital One Canada’s financial services operations.

Develop predictive models and machine learning solutions for fraud detection, customer behavior, financial risk, and marketing optimization. Analyze large transaction datasets using Python and PySpark, explore new data sources, and build data pipelines and visualizations to monitor model performance and data quality. The role involves end-to-end project ownership, cross-functional collaboration, and communicating technical concepts to non-technical audiences.

Provides AML advisory support to Canadian business lines, operationalizes policies, evaluates risks and control effectiveness, oversees reporting and regulatory assessments, and drives program enhancements. The role advises senior stakeholders, supports audits and regulatory engagements, delivers training, oversees KYC and customer due diligence controls, analyzes emerging risks, and recommends improvements to AML governance, processes, and technology.

Own and prioritize product roadmaps, translate business needs into features and user stories, define acceptance criteria, and deliver customer-facing digital products. Collaborate with designers, technologists, data scientists, and stakeholders in an agile environment. Use data-driven hypotheses to validate product value, manage risk, understand technology trends, and communicate product strategy while driving cross-functional teams toward measurable business outcomes.

Architect and scale enterprise software for experimentation, audience segmentation, and customer journey decisioning across marketing and messaging platforms. Build high-performance, AI-powered systems using machine learning, agentic workflows, distributed streaming, and personalization. Partner with data science, product, and engineering teams; mentor engineers; and drive technical excellence, experimentation, and innovation.