Credit Risk Analyst - Retail Credit
Sydney, Australia
When you come to work at ING, you’re joining a modern and progressive team where individuality isn’t just accepted, it’s encouraged. You’ll be surrounded by people who are friendly, inclusive and respectful, who want you to reach your potential.
We’re on the hunt for an experienced Credit Risk Analyst in the Retail Credit portfolio. You’ll form part of the Retail Credit Risk team (Mortgages, Credit Cards and Personal Loans) and you’ll have the opportunity to use your data, analytical and portfolio management capabilities to make significant contributions to strategic risk and business initiatives for optimised growth, while also managing appropriate risk appetite for ING Australia across all retail products.
We have some exciting programs of work planned for 2024 and we’re on the hunt for someone who can bring their established skills of SAS and Tableau and help us deliver these exciting projects!
Acting as an SME, you’ll help us on the implementation of any new data, execute on data quality and governance and you’ll support a variety of activities and projects working with peers and key stakeholders, using knowledge of credit risk data, tools and systems to support credit policy and strategy development while also delivering sustainable automated solutions and controls.
Are you ready to make an impact on our business?
What you’ll do
- Apply statistical technical and portfolio analytics to analyse data, identify patterns, trends and links; Provide insights to enable cross-functional team to understand portfolio dynamics
- Develop and maintain risk data and dashboards for the purpose of conducting portfolio analytics
- Ensure that the data quality and governance framework aligned with both internal standards and regulatory requirements.
- Collaborate as a subject matter expert on risk data migration to new data platform
What we’re looking for
- Exposure across SAS, SQL, Tableau or other reporting tools are beneficial Power Bi, R or Python would be considered highly advantageous
- Relevant university degree, with above average academic achievements in mathematics, commerce or statistics
- Excellent data interrogation, numerical and report writing skills
- Developed problem solving skills
- Ability to perform with tight deadlines and with minimal supervision
- Exceptional written and verbal communication skills with excellent time management skill
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 want to make life simpler and more worthwhile – for everyone who banks with us, for the people who work with us, and the community at large, too.
When you come to work at ING, you’re joining a team where individuality isn’t just accepted, it’s encouraged. We’ve built a culture that’s fun, friendly and supportive – it’s the kind of place where you can be yourself and make the most of whatever you have to offer.
We give people the freedom to think differently, take ownership of their work, and make great things happen. We’re here to help you get ahead. And with our global network, there’s plenty of scope to take your career in new directions, perhaps even ones you’ve never considered.
We are all about celebrating success and as a result we are proud to be a WGEA Employer of Choice for Gender Equality and a certified Family Inclusive workplace.
Sound like the kind of place you’d feel at home? We’d love to hear from you.
(One last thing, ING operates a direct talent sourcing model. So no agency introductions, please.)
Need more?
Contact Mark Montgomery Mark.Montgomery@ing.com
Applications close 4th June 2025
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Credit risk Data quality Mathematics Power BI Python R SAS SQL Statistics Tableau
Perks/benefits: Career development
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