Location: Sydney
We seek an Investment Analyst to join the AI and Alternative Data team within our Global Equities business. The role sits at the intersection of investing, quantitative research, data science and software engineering, supporting both the fundamental and systematic investment processes.
Candidates should have 0-3 years of relevant industry work experience (or equivalent).
Near‐term responsibilities:
* AI systems & tooling: You own the catalogue of agents, skills, and MCPs that the firm's PMs and analysts rely on daily - reliable, observable, and lifting research productivity.
* Training & AI enablement: You are accountable for firm‐wide AI fluency - translating specialist tooling into capability that every team uses, not just the AI team.
* Software development & data foundations: You bring engineering rigour to research code and data pipelines, ensuring quality, lineage, and reproducibility across the stack.
* Systematic research & portfolio integration: Partner with the systematic quant and investment teams to develop, validate and implement alpha signals, portfolio construction frameworks and optimisation processes. Apply AI and engineering tools to accelerate research workflows and improve the integration of systematic insights into investment decisions.
Growth path(s):
AI‐driven investment innovation: Ownership of Antipodes' AI strategy roadmap, with potential to grow into a senior role embedding AI as a durable edge in the investment process.
Quantitative research & investment innovation: Research and integrate alpha signals (traditional and alternative data), develop predictive models and systematic investment approaches, and contribute to portfolio construction frameworks with a focus on robustness, implementation realism and measurable investment outcomes.
About you:
* You bring mastery of agentic AI workflows and see yourself as a harness engineer - building the scaffolding (MCPs, skills, context engineering, guardrails, observability) that turns intelligent agents from impressive demos into durable production systems.
* Deep familiarity with modern AI‐assisted development workflows and coding copilots e.g. Claude Code (preferred), Codex, Copilot or similar. Non‐negotiable.
* Strong grounding in empirical asset pricing, portfolio construction, optimisation and statistical learning; comfortable taking alpha signals from idea generation through validation, implementation and live portfolio application, with an appreciation for the distinction between statistically significant and investable signals.
* You see yourself as a natural teacher - you lift the AI fluency of colleagues and turn specialist capability into firm‐wide capability. Non‐negotiable.
* Outcome‐oriented problem solver who prioritises business impact and knows when "good enough now" beats "perfect later".
* Fluent in Python (pandas/NumPy); comfortable with SQL, cloud data workflows, and LLM SDKs (Anthropic, OpenAI).
* Production‐minded about agents: aware of AgentOps discipline (evals, observability, audit trails) and treat them as part of shipping, not an afterthought.
* Genuine passion for equity markets - able to bridge code and investing as one domain.
We value:
* Natural curiosity about the events and trends that shape markets.
* First‐principles thinking from hypothesis to measured recommendation.
* Creative, independent, rational judgement under uncertainty.
* Patience, persistence, resilience in the face of noisy data and shifting regimes.
* Self‐less team players who raise the bar for others.
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