Job Title

Role on behalf of Luxoft Financial Services UK Limited Australia Branch Project Description We have been engaged by a large Australian Bank to provide an experienced engineering leader to lead their Credit Risk technology team as part of a strategic rebuild program. The program is a large initiative to re-engineer a legacy Credit Risk system that underpins the bank''s credit decisioning and review processes. The team is distributed across Sydney and India and is responsible for designing and delivering the nextgeneration platform from the ground up. This is a greenfield build opportunity with a mandate to leverage modern engineering practices, AIassisted development, and agentic tooling to accelerate delivery and raise the engineering bar across the team. The ideal candidate is a handson Principal Engineer who can set technical direction, lead distributed teams, and bring practical experience in applying AI and agentbased approaches to transform how engineering teams build software. What Makes This Role Unique Greenfield -- Building its replacement from scratch with modern tools and approaches AIfirst mandate -- The bank is actively investing in AIassisted engineering. You will have executive support to experiment with and embed agentic development practices across the team Scale and impact -- Leading large engineering team on a program that directly impacts the bank''s credit risk posture and regulatory standing Domain depth -- Credit Risk decisioning is a complex, highstakes domain where strong engineering can create outsized business value Responsibilities Define and own the technical architecture and engineering roadmap for the greenfield Credit Risk platform, replacing the legacy decisioning and review system Lead, coach and grow high performance and continuous improvement team including software engineers, data engineers and QA. Collaborate closely with Credit Risk business stakeholders, Product Owners, and Risk leadership to translate business requirements into engineering deliverables Partner with the bank''s broader technology leadership to align the Credit Risk platform with enterprise architecture, security, and compliance standards Drive engineering best practices include CI/CD, infrastructureascode, automated testing, performance monitoring and automated health checks. Introduce and embed AIassisted development practices across the team, including the use of coding agents, AI pairprogramming tools, and automated code generation Design and build AI agentbased solutions where applicable within the Credit Risk domain (e.g., automated credit decisioning workflows, intelligent document review, risk assessment pipelines) Contribute handson to critical design decisions and complex engineering work. Mandatory Skills Description 12+ years of software engineering experience with at least 3 years in a Principal Engineer, or Engineering Manager capacity Demonstrated experience leading and growing engineering teams of 15+ people, in distributed / multigeography setups Proven track record of delivering large complex greenfield implementations or builds largescale system or delivering multiyear cross platform simplification programs in financial services Strong domain knowledge in Credit or Market Risk or Good capital markets knowledge with experience in Pricing / Quants valuation. Familiarity with credit risk modelling concepts PD, LGD, EAD, credit scorecards, and decisioning engines Handson experience building, deploying, or integrating AI agents and LLMbased tooling into engineering workflows using tools like Claude Code / Cursor / Ampcode (e.g., coding assistants, autonomous agents, RAG pipelines, and agentic workflows) Demonstrable success in lifting engineering team capability through AI tools -- quantifiable improvements in velocity, quality, or developer experience Deep proficiency in modern backend technologies (e.g., Java, Kotlin, Python, or similar) and cloudnative architectures (AWS, Azure, or GCP) Strong understanding of API design, eventdriven architecture, microservices, and domaindriven design Experience with modern CI/CD pipelines, automated testing strategies, and DevOps practices Excellent communication and stakeholder management skills, with the ability to translate between technical and business language Experience working in regulated banking or financial services environments with an understanding of risk and compliance constraints Nice-to-Have Skills Description Experience with specific Trading / Credit Risk platforms or vendors (e.g., Murex, Calypso, Moody''s, internal bankbuilt systems) Experience with data engineering and analytics platforms (e.g., Spark, Databricks, Snowflake) Experience with frontend technologies for building internal risk management dashboards and tooling Contributions to opensource projects or published thought leadership on AIassisted engineering #J-18808-Ljbffr