Associate Manager,Credit Model Validation& Insights

About the Role:

The Associate Manager position with the Credit Model Validation and Insights (CMVI) team at ANZ is primarily responsible to validate a diverse suite of credit risk models for Wholesale (non-retail) and Retail portfolios and to support the development of validation methodologies/frameworks, tools, and related governance activities.

Banking is changing and we're changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you'll be building your future, while helping to build ours.

Role Type: Permanent

Role Location: Manyata Tech Park, Bengaluru

What will your day look like

As an Associate Manager with CMVI, you will:

• Conduct validation of Wholesale and Retail ECL and Stress Testing models, including BAU periodic validations and support for review of model changes and new model development validations
• Engage key stakeholders, including Model Developers and Model Users, to communicate validation findings, agree on actions, and track resolution
• Contribute to ongoing automation initiatives, make continuous improvements in validation frameworks and processes and provide support for audit reviews

What will you bring

To grow and be successful in this role, you will ideally bring the following:

• Proficiency in at least one quantitatively focused programming languages: e.g. R, Python, SAS
• Strong data manipulation/management skills including SQL and working with databases (e.g. BigQuery, Oracle, SQL Server)
• Candidates with 0 to 7 years of relevant experience in the industry
• Experience in building/validating credit risk models (e.g., capital/AIRB, provisions/IFRS9 ECL, decisions/scorecard models, Stress Testing models, and/or climate risk models)
• Knowledge of Basel regulatory framework, capital (incl. PD, LGD, EAD) models, ECL/IFRS9, stress testing and/or climate risk
• Knowledge of Wholesale (non-retail) and retail models and portfolios
• Strong foundation in Mathematics/Statistics/Quant skills
• Educational Background: Post graduate qualifications in statistics, econometrics, mathematics, data science, machine learning or equivalent quantitative field

You're not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we'd love to hear from you.