Data-Driven Investment Solutions Specialist

1 day ago

Sydney, New South Wales, Australia beBeeQuantification Full time $80,000 - $95,000

As a Quant and AI Engineer, you will play a pivotal role in driving the success of our Global Equities business by developing innovative solutions that combine the power of quantitative analysis with cutting-edge artificial intelligence.

Key Responsibilities
  • You will collaborate closely with portfolio managers, analysts, traders, and data engineers to design, develop, and implement robust quant signals and workflows that complement both systematic and discretionary fundamental investing processes.
  • With ownership of robustness, you will be responsible for 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) that enables data-driven decision making.
AI Systems Integration
  • In partnership with the fundamental sector teams, you will implement and integrate LLM and ML tooling (e.g., retrieval/summarisation, idea generation, research copilots) to enhance equity research productivity and workflows. This 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 to ensure seamless integration.
  • 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, you will 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 is 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.

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