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.

The role:

We’re looking for a talented and driven 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.

You will be responsible for:

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 practical proficiency in Python and familiarity with libraries such as Pandas, NumPy, Scikit-learn, and Hugging Face. We are looking for people who are passionate about coding - ideally you've spent time doing self-directed learning outside of the textbook and built your own tools.
Excellent problem-solving skills. You enjoy the process of solving novel problems.
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 and critical thinking skills.
Self-aware, with an understanding of how to drive and implement dynamic change.

Preferred qualifications:

Final-year student or recent graduate in Computer Science, Engineering, Mathematics, Physics or a related field;
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

Please attach a cover letter, resume and academic transcripts to your application. Only those who have been deemed suitable to be shortlisted will be contacted.

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