Risk Modelling Development Specialist
Bengaluru, IN
ANZ Banking Group Limited
ANZ offers a range of personal banking services such as internet banking, bank accounts, credit cards, home loans, personal loans, travel and international, investment and insurance. Learn about easy and secure ways to manage your money.About Us
At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.
About the Role
Stress Testing models are a key element in determining the bank's provisioning, which is announced to the market. This role is part of a new team that is being formed to ensure an ongoing healthy suite of ST models across wholesale and retail. This will include building and maintaining Stress Test models, remediating existing model issues and supporting ST model users in running and interpreting the models in BAU.
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: Full Time, Permanent
Role Location: Eco World, Bengaluru
What will your day look like?
- Building ST models across wholesale and retail, which would be used to determine and manage loan loss provisions under the IFRS9 standard. This would include a diverse range of modelling projects by location, industry, division, complexity, and size, run according to ANZ standards and procedures.
- Supporting model users in running the ST models and interpreting the results, including any offline or out-of-cycle calculations as part of the ST BAU process.
- Supporting her/his (Senior) Manager in investigating new modelling techniques and required data and investigating/researching the application of latest data science developments and machine learning techniques to ST modelling.
- Presenting results in meetings and discussing results with stakeholders including model users, internal model validation, internal audit, external audit, and the broader credit modelling team, i.e., retail modelling, wholesale modelling and stress test modelling.
- Growing into subject matter expert in the development of ST models.
- Contributing to modelling team code libraries.
- Delivering high quality documentation.
What will you bring?
‘Must have’ knowledge, skills and experiences
- Experience with analytical packages (R, Python, SQL, SAS).
- 3–5-year experience with (retail or wholesale) credit risk modelling and a good understanding of credit metrics.
- Understanding of finance and the commercial environment in which ST models are used.
- Strong analytical, numerical, research and problem-solving skills. Attention to details.
- Excellent written and verbal communication.
- Ability to plan and prioritize to deliver the best outcomes.
‘Good to have’ knowledge, skills and experiences
- Cloud computing and data skills.
- Experience / exposure to banking data across retail / wholesale areas.
- Knowledge of machine learning techniques.
Qualifications
- Tertiary qualification in Finance, Statistics, Operations Research, Mathematics or Econometrics, or related field.
So why join us?
From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.
But it's not just our customers who'll feel your impact. you'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.
We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.
At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support.
To find out more about working at ANZ, visit https://www.anz.com.au/careers. You can apply for this role by visiting ANZ Careers and searching for reference number 78494.
Job Posting End Date
11/10/2024 , 11.59pm, (Melbourne Australia)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Credit risk Econometrics Finance Machine Learning Mathematics Python R Research SAS SQL Statistics Testing
Perks/benefits: Career development Flex hours Health care
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