Principal Data Scientist – Financial Crime Model Validation

Sydney CBD Areaonsiteprincipal

Posted today · via Workday

About this role

​ Lead a new financial crime model validation capability and help shape how modern machine learning and AI is adopted in a highly regulated environment. Join a team building dedicated expertise to support the move from rule-based alerting to machine learning /GenAI -based model validation. Grow your impact with a bank investing in data science, model governance and AI-enabled tooling across the model lifecycle. Do Work That Matters At CommBank, Data Science is evolving quickly, with stronger tooling, reusable assets and AI-enabled support helping teams move from experimentation to production with greater speed, rigour and impact.…

Read the full description on Commonwealth Bank Of Australia's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, aws, pyspark, teams

2

Level fit

This role is principal-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Sydney CBD Area. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
See if I'm a fit →

Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonawspysparkteams

More at Commonwealth Bank Of Australia

See all open jobs at Commonwealth Bank Of Australia