About this role
Location: London
Program Length: 10 weeks, Summer 2027
Track: Infrastructure & Automation
Firm Overview
BGC Group (Nasdaq: BGC) is a leading global brokerage and financial technology company, serving wholesale financial and commercial real estate markets. BGC traces its origins to Cantor Fitzgerald's interdealer brokerage business and has been a separate publicly listed company since 2004, taking its name from Cantor's founder, B. Gerald Cantor. The two firms remain closely linked: Cantor Fitzgerald is BGC's largest and controlling shareholder, and the firms continue to work together as affiliated businesses.
Cantor Fitzgerald, with over 16,000 employees, has been a leading global financial services firm at the forefront of financial and technological innovation since 1945.
Cantor is a preeminent investment bank serving more than 5,000 institutional clients around the world, recognized for its strengths in fixed income and equity capital markets, investment banking, SPAC underwriting, PIPE placements, commercial real estate, and its global distribution platform. Cantor's portfolio of businesses also includes Prime Brokerage, Asset Management, and other ventures, with trading desks in every major financial center and offices in over 30 locations worldwide.
As one of the few remaining private partnerships on Wall Street, Cantor can focus on long-term value creation and solid relationship building — responding quickly to client needs, developing solutions to complex challenges, and attracting talented individuals driven to succeed.
Programme Overview
- Join an exciting, growing team and gain hands-on experience working alongside industry professionals on high-impact projects that drive innovation, scalability, and operational excellence across our global businesses.
- Get exposure to cutting-edge technology in an agile, fast-paced environment delivering world-class service to a diverse client base.
- Open to candidates in their penultimate year of study, or who have completed their higher education, with a strong interest in technology and financial services.
- Includes structured technical and professional skills training, plus a dedicated mentor to support your growth throughout the program.
- This internship may lead to a full-time offer.
- Requires commitment for the full 10-week program.
Infrastructure & Automation
Help build, support, and improve the technology that keeps the enterprise running — working across cloud platforms, cybersecurity, and infrastructure operations, while exploring how AI and automation can make technology services smarter, faster, and more reliable.
Responsibilities
- Work with enterprise technology: Assist with the support and improvement of cloud platforms, servers, networks, storage, and end-user technologies.
- Put AI into practice: Help evaluate and pilot AI-assisted approaches to troubleshooting, summarizing operational data, and making technical knowledge easier to find.
- Automate everyday tasks: Develop scripts and workflows, with guidance from the team, to simplify routine checks, reporting, and configuration activities.
- Improve reliability and performance: Use monitoring tools and infrastructure data to spot trends, investigate issues, and recommend improvements.
- Contribute to modernization projects: Participate in testing, configuration, and deployment activities supporting cloud adoption and more efficient infrastructure management.
- Build security into your work: Partner with infrastructure, cybersecurity, and engineering teams, following established practices for access, data protection, and responsible AI use.
- Make complex information useful: Create dashboards, technical guides, and documentation that help teams understand systems and resolve issues.
- Own a meaningful project: Take a defined project from investigation through delivery with team mentorship, and present your results, lessons learned, and recommendations.
Required Qualifications
- Pursuing a bachelor’s degree in computer science, Information Technology, Information Systems, Cybersecurity, Engineering, or a related field.
- Interest in infrastructure, cloud computing, cybersecurity, AI, or automation, with an eagerness to learn through hands-on work.
- Foundational knowledge of operating systems, networking, or programming, gained through coursework, personal projects, or prior experience.
- Strong analytical and problem-solving skills, including a willingness to investigate unfamiliar issues and ask thoughtful questions.
- Clear communication, a collaborative approach, and attention to detail when completing and documenting work.
Preferred Qualifications (but not required)
- Experience with Python, PowerShell, Bash, or another scripting language.
- Exposure to Microsoft Azure, AWS, or Google Cloud.
- Familiarity with Git, APIs, monitoring tools, dashboards, or infrastructure as code.
- Experience experimenting with generative AI tools or automating a task.
- Note: you don't need experience with every technology listed — class projects, home labs, student organizations, and personal projects are valuable preparation.
Attributes
- Graduates with a passion for technology and an interest in financial services.
- Enthusiastic and open to developing new skills in data and technology.
- Comfortable taking on new challenges and solving unfamiliar problems.
- Able to work under pressure, manage multiple tasks, and prioritize workloads.
- Strong written and verbal communication skills, with the ability to build relationships across stakeholders.
- Ability to work both independently and in groups.