Quant jobs / Commonwealth Bank of Australia

Data Scientist

Independently evaluate machine-learning and agentic AI models at Commonwealth Bank. The role builds reusable tests and investigates model data, assumptions and behaviour.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Design and reproduce AI-model evaluations.
Investigate agent traces, retrieval and tool-use failures.
Build automated validation harnesses and explain technical findings.

What they ask for

Required

Python
AI or machine-learning evaluation
Reproducible testing
Reading unfamiliar model code
Technical communication

Preferred

SQL, R or TypeScript
LangChain, LangGraph or Pydantic
Evaluation and observability tools

Education: No degree requirement stated.
Experience: Relevant AI development or evaluation experience; no minimum years stated. Advert closes 10 November 2026.
Languages and tools: Python
GitHub

How to prepare

Build an evaluation set for an agentic workflow.
Trace retrieval and tool errors back to model or data assumptions.
Compare learned evaluations with independently checked examples.

What to study

The Model Validation Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Commonwealth Bank of Australia’s site before applying: requirements, location and pay can change after we check them.

View the posting on Commonwealth Bank of Australia’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Commonwealth Bank of Australia and doesn’t handle applications.