The 2027 Betashares Graduate Programme is designed for graduates who want to do meaningful work, learn quickly and build a career at the intersection of technology, investment and financial services.

Over 24 months, you’ll rotate across different areas of the business, gaining first-hand experience of how technology, operations and investment management come together to deliver products and experiences for our customers. You’ll work alongside experienced professionals, contribute to real projects and take on work that has a genuine impact on the business from the outset.

The programme will give you broad exposure across Digital Technology & Transformation, Direct Operations, ETF Operations and Portfolio Management. Along the way, you’ll build your technical, analytical and commercial capability, develop a strong understanding of financial markets and investment products, and gain insight into the different career paths available across Betashares.

With regular guidance, feedback and opportunities to take ownership, you’ll be supported to grow as a professional, build meaningful relationships and establish a strong foundation for your future career.

Role Responsibilities

• Gain hands-on experience across technology, operations and investment teams, building an understanding of how Betashares’ products, systems and processes work together.
• Contribute to real software, data and digital projects that support business priorities and improve how we work.
• Work with experienced engineers and technical specialists to understand problems, assess options and develop practical solutions.
• Design, build, test, debug and document code as part of project delivery, using appropriate engineering practices and tools.
• Analyse data, systems and processes to identify issues, improve performance and contribute to automation or more efficient ways of working.
• Use version control, testing, documentation and code review practices to produce reliable and maintainable solutions.
• Collaborate with engineers, product specialists, operations teams and other stakeholders to understand requirements and deliver shared outcomes.
• Explain technical concepts, project progress and recommendations clearly to both technical and non-technical audiences.
• Take ownership of assigned deliverables, seek feedback early and progressively work with greater independence.
• Present key learnings, project outcomes and recommendations at the conclusion of each rotation, reflecting on your development and next areas of focus.
• Throughout the rotation, document progress and key decisions, track outcomes and present the work, results and learnings at the conclusion.

Key skills and experience

Must-haves

• Currently completing or recently completed a degree in computer science, software engineering, data science, mathematics, statistics, information technology, engineering, science, finance or a related discipline, or equivalent technical experience.
• Demonstrated experience building a technical solution and writing code in at least one general-purpose programming language.
• Foundational understanding of software engineering concepts, including version control, testing, debugging, databases and APIs.
• Strong analytical, problem-solving and attention-to-detail skills, with a commitment to producing accurate and reliable work.
• Curiosity about AI, automation and emerging technology, with a willingness to use these tools thoughtfully to improve how work is done.
• Clear communication and collaboration skills, with a willingness to learn, receive feedback and build knowledge across technology, financial markets and investment products.

Nice-to-haves

• Internship, work experience or substantial personal projects involving software engineering.
• Experience with more than one programming language or with tools and frameworks such as Python, Go, Rust, TypeScript, SvelteKit or similar.
• Exposure to cloud platforms, distributed systems, data pipelines, web applications or financial technology.
• Experience with data analysis, modelling, automation, dashboards or AI tools.
• A GitHub portfolio, open-source contribution, hackathon project or other example of building something independently.
• Previous exposure to financial markets, investment products or financial services.