Senior Data Scientist Risk Managemen
Employment Info
JOB DETAILS
Requirements
- Strong hands-on experience in Data Science, Machine Learning and Statistical Modelling.
- Ability to clearly articulate how complex problems were solved and technical approaches were designed in previous model-related work.
- Strong Python capability, AWS experience, and experience working in a data-science-led technical environment.
- Financial crime domain knowledge, or experience working with financial crime models in model development or model validation.
- Ability to work effectively with stakeholders and apply sound judgement in regulated, risk-focused environments.
- Tertiary qualification in Statistics, Mathematics, Data Science or Computer Science.
Responsibilities
- Validate financial crime models as part of a dedicated team supporting a new model-validation capability.
- Apply data science and machine learning expertise to assess models designed to detect patterns and identify potentially risky transactions.
- Deep dive into previous projects, technical decisions and problem-solving approaches to bring strong validation judgement to complex use cases.
- Work closely with stakeholders in a regulatory-heavy domain where model risk, governance and technical quality matter.
- Contribute to a collaborative team environment focused on learning, capability growth and exposure to different projects over time.
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