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Quant & AI Engineer

4 weeks ago

Sydney, New South Wales, Australia Antipodes Full time

Antipodes Partners is a diversified multi-asset manager with A$18bn under management, offering Global and Australian equities, Global listed infrastructure, and Credit.

Role Description

We are seeking a Quant & AI Engineer to join the QMAT (Quant and Macro, Alternative Data and Trading) team with a passion for financial markets and investing, joining our Global Equities business. We expect 3-6 years of relevant industry work experience (or equivalent). The role will be Sydney based.

  • Strong academics in Software Engineering, Computer Science, or Data Science are ideal.
  • Studies in Finance/Quant Finance, Statistics, Mathematics, Physics, or Actuarial Science are valued but not essential.
  • Advanced degree (MSc/PhD) or equivalent industry experience is welcome.
  • Hands-on AI/ML systems experience is highly desirable.

How to apply:

Please email both anthony.el-khoury@antipodes.com and careers@antipodes.com with "QMAT Job Application" as the email subject and attach a Curriculum Vitae (pdf preferred).

Near-term Responsibilities:

  • Collaborate with portfolio managers, analysts, traders, and data engineers to productionise quant signals and workflows that complement both systematic and discretionary fundamental investing processes.
  • Take ownership of robustness, including monitoring, backtest hygiene, out-of-sample validation, and guardrails to prevent data leakage or overfitting.
  • Contribute to a systematic research platform (factor library, feature store, research notebooks, experiment tracking).

AI Systems Integration

  • In partnership with the fundamental sector teams, implement and integrate LLM and ML tooling (e.g., retrieval/summarisation, idea generation, research copilots) to enhance equity research productivity and workflows. Requires the ability to abstract Excel/DCF valuation models into structured, reusable drivers – enabling integration into research platforms and AI workflows.
  • Stand up secure, compliant AI workflows (access controls, NPI handling, model risk checks, auditability), partnering with operations and IT teams.
  • Track and benchmark emerging AI capabilities; convert the most promising into practical, measurable productivity gains or research insights.

Software Development & Data Foundations

  • In partnership with the operations and data engineering team, design, write, and maintain reliable, testable Python code (R optional) for investment research tooling, data processing, and strategy implementation.
  • Assist with the building and operating of data pipelines (batch/stream) across SQL, REST APIs, AWS S3, Azure Blob Storage, and Snowflake. Familiarity with tools such as Airflow, Docker, and Git preferred.
  • Ensure data quality, lineage, reproducibility, and cost-aware cloud usage across environments.

Growth Path(s):

  • Contribute to the expansion of AI-enabled investment processes across research, trading, and risk management.
  • You will contribute to implementing the firm's AI strategy roadmap, including vendor partnerships, model governance, and in-house research.
  • Potential to grow into a senior role responsible for embedding AI as a durable edge in Antipodes' investment process.

Alpha Signal Research & Integration

  • Research and test new alpha signals (including traditional and alternative data sources) and advanced feature engineering; assessing economic/causal intuition and alpha potential.
  • You will integrate these validated signals into existing processes with clear attribution.

Quantitative Research & Strategy Development

  • Design and iterate systematic equity strategies with rigorous backtesting, risk controls, and implementation realism (liquidity, costs, borrow, capacity).
  • Enhance simulation frameworks (event-time tests, walk-forward, cross-validation) and contribute to shared research tooling.
  • Work closely with CIO, PMs, sector teams, traders, and data engineers to align research with investment goals.
  • Produce concise write-ups and presentations on methods, assumptions, limitations, and business impact; contribute to team knowledge sharing.

About you:

  • Outcome-oriented problem solver who prioritises business impact and knows when "good enough now" beats "perfect later."
  • Fluent in Python (pandas/NumPy); experience with scikit-learn and/or PyTorch/TensorFlow is a plus. Comfortable with SQL and cloud data workflows.
  • Mathematically minded (linear algebra, probability, statistics, time series); pragmatic about modelling assumptions.
  • Strong interest in valuation mechanics (e.g., DCF, relative value, cash flow drivers) and how these can be systematised and enhanced through AI and quantitative methods.
  • Data detective who is rigorous about data quality and enjoys turning messy, high-dimensional data into tractable features.
  • Clear communicator who can explain complex ideas simply to non-quants and invite constructive challenge.
  • Builder's mindset: version control, tests, code review, documentation; with curiosity to prototype, measure, and iterate.

We value:

  • Natural curiosity about the events and trends that shape markets.
  • First-principles thinking from hypothesis to measured recommendation.
  • Patience, persistence, resilience in the face of noisy data and shifting regimes.
  • Selfless team players who raise the bar for others.

Antipodes Partners is majority owned by its seasoned investment team and its performance culture is underpinned by sensible incentives and a focused offering, with non-investment functions outsourced to its minority partner Pinnacle Investment Management Limited.

For more information about Antipodes Partners, please visit www.antipodes.com

How to apply:

Please email both anthony.el-khoury@antipodes.com and careers@antipodes.com with "QMAT Job Application" as the email subject and attach a Curriculum Vitae (pdf preferred).

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionResearch, Analyst, and Information Technology
  • IndustriesInvestment Management

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