Junior Credit Risk Analyst - Data & Insights (Flexible Work)

CommBank; Sydney; On-site; AUD 65,000 - 90,000; Full time

Job summary

CommBank in Australia seeks an entry level Credit Risk Analyst to join our risk management team in Sydney or Perth. You will analyse portfolio performance, identify emerging risks and translate insights into actionable recommendations while learning from a highly engaged team.

The role emphasizes data-driven decision making, collaboration across risk and business units, and the use of SQL, R, SAS and Python to support reporting and dashboards. Flexible working arrangements are available.

Qualifications

• 1–2 years of relevant experience in credit risk or data analytics.
• Degree in Data Analytics, Econometrics, Mathematics, Statistics, Actuarial Sciences, Computer Science, Quantitative Finance or related quantitative disciplines.
• Strong analytical, problem-solving and written/verbal communication skills.

Responsibilities

• Analyse portfolio performance and credit risk trends to identify emerging risks and opportunities.
• Extract, manipulate and analyse data using SQL, R, SAS and Python.
• Develop and maintain risk reporting, dashboards and analytical tools to support effective decision-making.
• Communicate analytical findings clearly to both technical and non-technical stakeholders.
• Assist with setting credit risk appetite across Consumer Finance products.

Skills

Data analysis

Credit risk

Analytical thinking

Communication

Education

Bachelor's degree in Data Analytics, Econometrics, Mathematics, Statistics, Actuarial Sciences, Computer Science or related quantitative disciplines

Tools

SQL

R

SAS

Python

Job description

CommBank in Australia seeks an entry level Credit Risk Analyst to join our risk management team in Sydney or Perth. You will analyse portfolio performance, identify emerging risks and translate insights into actionable recommendations while learning from a highly engaged team.

The role emphasizes data-driven decision making, collaboration across risk and business units, and the use of SQL, R, SAS and Python to support reporting and dashboards. Flexible working arrangements are available.