Credit Risk Analyst - 14 months fixed term contract
ING is hiring a Credit Risk Analyst - 14 months fixed term contract in Sydney, Australia. Level rates it ; you can apply on ING.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions SQL, Tableau and Power BI among its tools and skills.
- Level classes it as a mid-level role.
- ING has 658 other open roles on Level.
AI in this role
Analyze retail credit risk and contribute to portfolio reporting and data transformation initiatives at ING.
As we continue to invest in data, analytics and innovation, we're expanding our Retail Credit Risk team and are looking for talented professionals to make a real impact in a team that is transforming how risk insights support better customer and business outcomes.
Please note this is a 14 months fixed term contract
Whether you're an experienced analyst looking to deepen your expertise or a risk professional ready to drive strategic initiatives, you'll play a critical role in delivering insights that support better decision-making, enhance portfolio performance and strengthen ING's risk management capabilities.
Working closely with stakeholders across Risk, Data and Technology, you'll contribute to portfolio monitoring, risk reporting, data transformation initiatives and the development of innovative analytical solutions.
You'll have the opportunity to influence key business decisions, improve how risk data is managed and consumed, and help drive the adoption of automation and AI-enabled capabilities across the function.
What You'll Do
- Monitor portfolio performance and identify emerging risks and trends across Retail and SME lending portfolios.
- Deliver meaningful reporting, analysis and insights that support effective risk management and business decision-making.
- Partner with stakeholders across Risk, Data and Technology to enhance reporting, data quality and analytical capabilities.
- Contribute to strategic, regulatory and transformation initiatives that strengthen ING's risk management framework.
- Leverage data, automation and innovative technologies to improve efficiency, reporting and portfolio insights.
What We're Looking For
- Experience in credit risk analytics, portfolio monitoring, risk reporting or risk data management within banking or financial services.
- Proven SQL, data analysis and reporting capabilities, with experience using tools such as Tableau, Power BI or similar platforms.
- Knowledge of retail lending products and an understanding of credit risk management principles.
- Excellent analytical, problem-solving and stakeholder management skills, with the ability to translate data into actionable insights.
- A curious and proactive mindset, with a passion for continuous improvement, innovation and emerging technologies, including AI.
What’s in it for you?
- Discounted ING Health Insurance
- An additional Rest Day to support your wellbeing
- An IMPACT day to volunteer on approved sustainability activity
About Us
At ING, we’re all about making life simpler and more rewarding - for the people who bank with us, the team members who work with us, and the communities we’re proud to support. Joining ING means stepping into an environment where your individuality isn’t just welcomed - it’s celebrated. We’ve built a culture that’s fun, inclusive, and supportive, giving you the freedom to be yourself, so you can do your thing.
Whether you’re taking ownership of exciting projects, thinking outside the box, or working with global colleagues, you’ll find ING is the kind of place where growth isn’t just a possibility; it’s a promise. As a WGEA Employer of Choice for Gender Equality and Family Inclusive workplace, you’ll feel the difference in how we value and champion our people.
We make hiring decisions based on your skills, capabilities, and how you align with our values - not on ticking every box. So, if you’re interested but don’t meet all the criteria, we encourage you to apply. We’re invested in fostering a diverse and inclusive workplace where everyone feels like they belong. We’re your allies in helping you do your thing during the recruitment process, so let us know (email below) if you require any support or adjustments when you apply
Sound like your kind of vibe? We can’t wait to hear from you!
(One last note: We operate using a direct talent sourcing model, so no agency introductions, please.)
ING is Australia’s most recommended bank according to RFI Global’s Consumer Atlas Survey, January–June 2025 (n = 29,510) when compared to customers of the 10 largest ADIs operating in Australia.
Need more?
Contact: Skye Griffiths on skye.griffiths@ing.com
For support and adjustments, including DEI, LGBTQI+ confidential application support enquiries: rpoteam.au@ing.com
Applications close Monday 9 November
How we rate this
Credit Risk Analyst - 14 months fixed term contract at ING rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where credit risk was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where portfolio monitoring was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Credit Risk, Data Analysis, Portfolio Monitoring, Risk Management, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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