About

Macquarie Asset Management is a leading global asset manager across public and private markets, managing approximately A$941 billion for institutions, governments, foundations and individuals. With a strong position in private markets and alternatives across real assets, real estate, credit and insurance, we pair operating expertise with proprietary data. Our Data Science, Analytics and AI team turns that advantage into outcomes by embedding a data-driven decision-making culture and advancing analytics and AI to drive growth, transforming how private markets are managed, scaled and serviced. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? As the Lead Data Scientist at Macquarie Asset Management, you will partner with business leaders, engineering, and cross-functional teams to architect the future of AI and data science, owning the end-to-end strategy, influencing executive and board-level decisions, and shaping how AI transforms our business. You will lead, inspire, and grow a high-performing global team, fostering technical excellence, diversity of thought, and a culture of ambitious experimentation. Leveraging modern platforms, you will pioneer production-grade agentic AI and digital co-worker capabilities by harnessing advanced machine learning, natural language processing (NLP), and large language models (LLMs) to solve complex challenges and drive innovation across investment management, client servicing, fund management, and corporate operations. What you offer Advanced SQL; strong Python and NLP experience Experience with Ag