Data Scientist: Credit Risk & Stress Modeling

CommBank; Sydney; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Data Science community

Accessible workplace & adjustments

Supportive risk and validation teams

Job summary

CommBank in Sydney seeks a Data Scientist - Credit Risk Models to develop and enhance credit risk models and stress-testing methodologies. You will tackle complex data, apply advanced statistical and quantitative techniques, and translate portfolio scenarios into measurable credit-risk impacts for decision makers.

You will work within the Model Development Chapter Area of Risk Management across Retail and Non-Retail Models, collaborating with validation and risk teams, using R, Python and SQL,

Qualifications

• A tertiary qualification in Mathematics, Statistics, Econometrics, Engineering or Data Science with strong quant modules.
• Experience in quantitative modelling, data science or credit risk analytics.
• Strong foundations in statistical and predictive modelling and machine learning.
• Hands-on programming with R and/or Python; SQL for data analysis.
• Able to explain methodology, assumptions and implications clearly.
• Willingness to learn new modelling approaches and technologies.
• Experience with PD/LGD/EAD, IRB, IFRS 9 or stress testing is highly regarded.

Responsibilities

• Develop and enhance credit risk stress-testing models using advanced techniques.
• Apply predictive modelling, regression, time-series and macroeconomic methods.
• Translate scenarios into measurable credit-risk impacts (PD, LGD, EAD, ECL).
• Analyse model behaviour, sensitivities, limitations and key drivers.
• Work with large, complex datasets and govern analytical approaches.
• Use R, Python and SQL; leverage cloud platforms for data prep and modeling.
• Translate complex results into clear insights for technical and non-technical stakeholders.
• Document methodologies, assumptions, limitations and modelling decisions.

Skills

Quantitative problem-solving

Statistical modelling

Data science

R and Python

SQL proficiency

Ambiguity handling

Communication skills

Credit risk modelling

Education

Quantitative degree

Tools

R

Python

SQL

Job description

CommBank in Sydney seeks a Data Scientist - Credit Risk Models to develop and enhance credit risk models and stress-testing methodologies. You will tackle complex data, apply advanced statistical and quantitative techniques, and translate portfolio scenarios into measurable credit-risk impacts for decision makers.

You will work within the Model Development Chapter Area of Risk Management across Retail and Non-Retail Models, collaborating with validation and risk teams, using R, Python and SQL,