Experienced Analyst | Credit Risk | Sydney or Melbourne

Job Requisition ID: 40476 

• We value in-person connection with our teams and clients, with flexibility to balance work and life

• Mentoring programs – receive support and coaching to progress your career ​

• Recognition culture to celebrate milestones and discounts at hundreds of retailers 

You've started building your career in credit risk or quantitative modelling and you're ready for the next step. This is your opportunity to accelerate your technical development, work across multiple financial institutions, and learn from some of the best in the field.

About the team

Our Credit Risk and Quantitative Modelling team is an established and respected part of Deloitte's assurance practice, and we're growing. We work with a range of financial institutions, primarily banks and non-bank lenders, on complex quantitative credit risk model development, validation, and monitoring. We also help clients understand and respond to upcoming regulatory and accounting changes, particularly where those changes affect their credit risk models.

This is a newly created role, which means you'll be joining at a point where you can genuinely grow with the team as it scales. You'll have experienced modellers and senior team members around you who are invested in your development, combined with the variety and exposure that consulting offers early in your career.

We pride ourselves on our people-centred culture, our client-focused approach, and our willingness to think differently. We don't just help our clients meet their obligations. We help them get genuine business value from the work.

What will your typical day look like?

You'll be getting stuck into real modelling work from day one. This isn't a role where you'll spend months on the sidelines. You'll be contributing to live client engagements while building the technical and professional skills that will set the foundation for your career.

On any given day, you might be:

• Supporting the development, review, or validation of credit risk models (PD, LGD, EAD) for IFRS9 or Regulatory Capital purposes
• Running data analysis and preparing model documentation for client deliverables
• Assisting with stress testing engagements, including emerging areas like climate-related credit modelling
• Researching regulatory and accounting changes and helping assess their impact on client models
• Writing code in SAS, SQL, R, Python, or similar tools to support model builds and validation testing
• Working closely with senior team members across multiple projects, learning how to manage client relationships and deliverables
• Presenting your findings and analysis to the broader team and, over time, directly to clients

You won't be limited to one type of work or one client. The variety you'll get in consulting at this stage of your career is hard to replicate anywhere else.

Enough about us, let's talk about you.

You're quantitatively sharp, eager to learn, and excited by the idea of applying your academic or early career skills to real problems in financial services. You don't need to have all the answers yet, but you're the kind of person who asks good questions, takes ownership of your work, and wants to keep getting better.

You may have all or some of the following skills/experiences:

• Relevant degree in statistics, actuarial science, engineering, mathematics, or a related quantitative field. Postgraduate qualifications are desirable
• 1 to 2 years of experience in credit risk, quantitative modelling, or a related analytical role within a consulting firm, bank, or financial institution
• Some exposure to credit risk models such as PD, LGD, or EAD models, whether through work experience, university projects, or internships
• Foundational understanding of the regulatory and IFRS landscape as it relates to financial services, or a strong willingness to learn
• Interest in stress testing, climate risk modelling, or emerging areas within credit risk
• Working knowledge of one or more of the following: SAS, SQL, VBA, R, Python, or C++
• Strong analytical and problem-solving skills with attention to detail
• Clear communication skills, both written and verbal. You can explain technical concepts without losing your audience
• A team-oriented mindset. You're collaborative, open to feedback, and willing to pitch in where needed
• Curiosity about machine learning, NLP, or AI techniques is a bonus but not expected at this level

Why Deloitte?  

Next Steps  
Sound exactly like the sort of role for you? Apply now! 

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By applying for this job, you’ll be assessed against the Deloitte Talent Standards. We’ve designed these standards so that you can grow in your career, and we can provide our clients with a consistent and exceptional Deloitte employee experience globally. The preferred candidate will be subject to background screening by Deloitte or by their external third-party provider.