Part-Time Senior Credit Risk Analyst | Flexible Modelling

ASB Bank; Auckland; On-site; NZD 83,000 - 124,000; Part time

Job summary

ASB Bank in Auckland is seeking a Senior Credit Risk Analyst in a part-time capacity, three days per week, to deliver monitoring across IRB, IFRS9 and decisioning models. You will analyse complex datasets, translate technical findings into clear insights for risk governance, and enhance monitoring frameworks through automation.

You will bring a solid statistical background, experience with large data, strong problem-solving and communication skills, and familiarity with credit risk management in

Qualifications

• Solid mathematical or statistical background.
• Experience analysing large/complex datasets.
• Strong problem-solving and root-cause analysis skills.
• Excellent written and verbal communication.
• Experience in credit risk management, financial services or data analytics.
• Working knowledge of SAS, SQL, Snowflake or Databricks is beneficial.
• Collaborative approach and commitment to continuous learning.

Responsibilities

• Deliver monthly and quarterly model monitoring and reporting.
• Investigate anomalies, breaches and emerging model issues.
• Conduct root-cause analysis and support timely resolution.
• Prepare, clean and analyse large datasets.
• Develop scalable tools and scripts to improve monitoring processes.
• Partner with model validators and support audit activity.

Skills

Senior credit risk

Data analysis

Root-cause analysis

Communication skills

Statistical background

Model monitoring

IRB/IFRS9 knowledge

Continuous learning

Tools

SAS

SQL

Snowflake

Databricks

Job description

ASB Bank in Auckland is seeking a Senior Credit Risk Analyst in a part-time capacity, three days per week, to deliver monitoring across IRB, IFRS9 and decisioning models. You will analyse complex datasets, translate technical findings into clear insights for risk governance, and enhance monitoring frameworks through automation.

You will bring a solid statistical background, experience with large data, strong problem-solving and communication skills, and familiarity with credit risk management in