Climate Risk Manager
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
As a Climate Scenario Analysis Manager in the Risk Metrics and Measurement team, you will lead climate stress testing efforts, providing stakeholders with clear insights into potential climate-related risks and opportunities across the bank’s portfolios. Your role is pivotal in supporting informed decision-making and developing sustainable portfolio strategies that align with ANZ’s commitment to a resilient and sustainable future.
You will help design and implement adaptable models that meet the evolving needs of our stakeholders, collaborating closely with subject matter experts across various credit risk portfolios. This role offers the opportunity to forge relationships both within and outside the risk domain, fostering connections with teams locally and globally.
You will need to create innovative approaches to integrate climate risk into Stress Testing and Credit Risk modelling processes. The objective is to build a scalable and sustainable climate stress testing capability that can evolve as new data, tools and regulations emerge.
This is a newly created position where you will set a benchmark for excellence, contributing significantly to the global effort to navigate the challenges posed by climate change.
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 a Climate Scenario Analysis Manager, you will:
- Analyse and identify factors contributing to climate-related risks across business portfolios and collaborate with data engineers to source and establish climate risk datasets.
- Ensure seamless delivery of Climate related regulatory disclosures for various geographies that ANZ operates in.
- Deliver on Climate Risk analytics and work with Stress Testing and Modelling teams to design and deliver on Climate disclosures and models.
- Work with relevant stakeholders to design and create adaptable stress testing models specifically tailored for climate-related risks and estimate the impact of these risks from the perspectives of credit risk weighted assets (RWA) and provisions.
- Ensure the climate-related risk models adhere to regulatory requirements and industry standards
- Prepare and deliver presentations to the senior leadership team, communicating findings to inform strategic decision-making
- Foster relationships with teams both within and outside the risk domain, locally and globally, to enhance collaboration and knowledge sharing
What will you bring?
To grow and be successful in this role, you will ideally bring the following:
- 8+ years of experience in Banking and Credit Risk.
- Tertiary qualification in an analytics-based degree (statistics, economics, actuarial science, mathematics, quantitative finance, engineering)
- Proficient in SAS, SQL, and/or R and Python for data manipulation, analysis.
- Experience in Credit Risk Modelling, Climate Risk Modelling or Climate Risk Regulatory disclosures, Stress Testing, Forecasting is preferred.
- Understanding of macroeconomic variables and analysis.
- Proven track record in developing IRB credit model adhering to regulatory standards with hands-on experience in data collection, validation, and modelling techniques
- Effective communication skills to convey complex modelling concepts to non-technical stakeholders and experience in preparing clear presentations and reports for senior management
- Previous experience in developing and implementing stress testing and ECL models to simulate and analyse impacts of adverse scenarios on portfolios
- Strong commitment to maintaining accuracy in data handling and modelling
- Successfully built a network of strong relationships and influencing key stakeholders
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.
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 87454.
Job Posting End Date
21/02/2025 , 11.59pm, (Melbourne Australia)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Credit risk Economics Engineering Finance Mathematics Python R SAS SQL Statistics Testing
Perks/benefits: Career development Flex hours Health care
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