Credit Risk Platform Lead

We’re partnering with a major Australian bank on a high-impact transformation program, and we’re looking for a Principal Engineer to lead the rebuild of a critical Credit Risk platform from the ground up.

This is not a BAU role. It’s a true greenfield opportunity where you’ll shape architecture, influence strategy, and embed AI-first engineering practices into a large-scale, enterprise environment.

Why This Role Stands Out

• Greenfield Build – Replace a legacy credit risk system with a modern, scalable platform
• AI-First Engineering – Backed by executive support to implement LLMs, agentic tooling & AI-assisted development
• Enterprise Impact – Directly influence the bank’s credit decisioning and regulatory posture
• Leadership Scope – Lead and uplift a globally distributed engineering team (Sydney & India)
• Complex Domain – Solve real-world problems in credit risk, modelling, and decisioning systems

What You’ll Be Doing

• Own the technical vision, architecture, and roadmap for a next-gen Credit Risk platform
• Lead, mentor, and scale a high-performing engineering team (15+)
• Drive adoption of modern engineering practices (CI/CD, DevOps, automated testing, IaC)
• Embed AI-assisted development (coding agents, LLM workflows, RAG pipelines) into delivery
• Collaborate with Risk, Product, and Business stakeholders to translate complex requirements
• Design scalable, cloud-native systems using microservices and event-driven architecture
• Contribute hands-on to key technical decisions and complex builds

What We’re Looking For

• 12+ years in software engineering, including experience at Principal or Engineering Manager level
• Proven track record leading large, distributed engineering teams
• Experience delivering complex greenfield platforms or large-scale transformation programs
• Strong background in backend engineering (Java, Kotlin, Python, etc.) and cloud platforms (AWS/Azure/GCP)
• Deep understanding of microservices, APIs, event-driven architecture, and DDD
• Experience implementing CI/CD pipelines and modern DevOps practices
• Exposure to AI-assisted development (LLMs, coding agents, automation tools)
• Strong stakeholder engagement skills across technical and business teams

Highly Regarded

• Experience in Credit Risk, Market Risk, or Capital Markets
• Understanding of PD, LGD, EAD, scorecards, and decisioning systems
• Experience with platforms like Murex, Calypso, Moody’s, or similar
• Exposure to data platforms (Databricks, Snowflake, Spark)
• Thought leadership or contributions in AI-driven engineering

The Opportunity

This is a rare chance to:

• Lead a mission-critical transformation within a major bank
• Work at the forefront of AI-enabled software engineering
• Build and shape a platform that will define the organisation’s risk capability for years to come

If you’re a hands-on engineering leader who thrives on solving complex problems and wants to push the boundaries of AI in software development, we’d like to hear from you.

Apply now or reach out for a confidential discussion.