About Pinnacle Investment Management

Pinnacle Investment Management Group Limited (ASX: PNI) is a leading Australian-based multi-affiliate investment management firm. Our mission is to establish, grow and support a diverse stable of world-class investment management firms. Pinnacle currently consists of nineteen investment management firms that collectively manage over A$200 billion in assets across a diverse range of asset classes. Our affiliated managers operate autonomously, in line with our philosophy that 'supported independence' is an essential ingredient in sustaining investment excellence and business resilience over the long term. Our values of Client Focus, Honesty and Integrity, Innovation and Empowerment guide all our actions. We continually invest in our people and develop them to help reach their potential through extensive on the job training.

About the role

We're looking for a talented and driven penultimate or final-year university student, or a recent graduate to join our AI team as an AI Associate. This is a unique opportunity to apply cutting-edge AI and machine learning techniques to real-world problems in asset management. You'll design, build, and deploy AI tools from the ground up, including agentic workflows, internal chatbots and intelligent applications that enhance business processes and decision-making.

What you'll do

• Help design and develop AI-powered applications and tools from scratch;
• Support the development of machine learning models for predictive analytics and portfolio insights;
• Contribute to the design and implementation of agentic AI systems that autonomously perform tasks such as data analysis, report generation and investment research;
• Write clean, efficient Python code for data processing, model training, and application logic;
• Collaborate with stakeholders to understand business needs and translate them into technical solutions; and
• Stay up to date with AI/ML trends and contribute ideas for innovation.

Required skills and experience

• Strong proficiency in Python and familiarity with libraries such as Pandas, NumPy, Scikit-learn, and Hugging Face;
• Exposure to machine learning concepts and hands-on experience through coursework or projects;
• In-depth knowledge of LLMs, prompt engineering, and building chat-based AI tools;
• Familiarity with agentic AI frameworks such as LangChain and how to build multi-step reasoning agents;
• Ability to learn quickly and work independently or in a team setting;
• Self-starter with a high level of motivation and curiosity; and
• Excellent communication, critical thinking and problem-solving skills.
• Self-aware, with an understanding of how to drive and implement dynamic change.

Preferred qualifications

• Penultimate or Final-year student or recent graduate in Computer Science, Data Science, Engineering, Mathematics, Physics or a related field;
• We are open to other majors if you can demonstrate strong Python skills and AI understanding;
• Experience with cloud platforms (e.g., Azure, AWS) or Git-based workflows;
• Interest in investing or financial markets;
• Familiarity with financial concepts or a strong interest in investment technology; and
• Open to Australian PR and Australian/NZ citizens

Please attach a cover letter, resume and academic transcripts to your application.