Solution Designer – Credit Risk & Data Platforms
Location: Sydney
Start Date: January 2025
Employment Type: Contract
Priority: Active Hiring
We are seeking an experienced Solution Designer to play a critical role in designing and delivering enterprise-scale data and analytics solutions within a complex Credit Risk and Banking environment. This position will work across business and technology domains to engineer robust, reusable, and high-value data products that support risk models, analytics, and regulatory outcomes.
About the Role
As a Solution Designer, you will be responsible for defining end-to-end solution architectures across multiple platforms and technologies. You will collaborate closely with Credit Risk stakeholders, service owners, and engineering teams to ensure solutions align with enterprise standards, design principles, and strategic objectives.
This role requires deep experience in data engineering, risk analytics platforms, cloud technologies, and large-scale delivery within regulated environments.
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Key Responsibilities
* Design and implement cross-functional, enterprise-grade data solutions across multiple technologies and platforms.
* Engineer reusable enterprise data products across sourcing, data quality, modelling, integration, and consumption layers.
* Identify, define, and oversee delivery of common enterprise components to improve solution consistency, maintainability, and delivery efficiency.
* Define solution architectures spanning:
* SAS platforms and modelling tools
* Hadoop and Big Data ecosystems
* Azure and Azure Machine Learning
* Teradata Data Warehouse
* ETL and integration tools (e.g. Informatica)
* Business Intelligence tools (e.g. Power BI, Tableau)
* Partner with Credit Risk business stakeholders, service owners, technology leads, and Line of Business leaders to prioritise and refine requirements and backlogs.
* Ensure solution designs comply with enterprise architecture standards, data governance, and risk controls.
* Work with business teams to understand credit risk data elements, including reference data, metadata, and data lineage.
* Guide Agile delivery teams through design, development, testing, deployment, and support using modern DevOps practices.
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Skills and Experience
To be successful in this role, you will demonstrate:
* 3+ years' experience working in large and complex Credit Risk and/or Banking environments.
* 10+ years' experience delivering business and technology solutions involving complex data engineering and processing.
* 5+ years' advanced experience with SQL and SAS, including:
* Base SAS, SAS Macro
* SAS DI Studio, SAS Enterprise Guide
* SAS Management Console and SAS Platform administration
* 5+ years' experience with modern data and engineering technologies, including:
* Hadoop, Spark, Hive, HBase
* Python, Java, Spring Boot
* Git, Flink, Cosmos DB, Akka, Scala, SQL, Synapse
* Strong experience in data warehousing, modelling, and integration tools such as Informatica and Sterling.
* Familiarity with business intelligence platforms including IBM Cognos/TM1, Power BI, and Tableau.
* Proven experience designing solutions for cloud platforms, preferably Microsoft Azure, including serverless architectures.
* Experience designing and supporting Risk Models and Analytics using:
* SAS RFW, SAS Risk Stratum, SAS Viya
* Azure Machine Learning
* Hands-on experience with DevOps pipelines, particularly Azure DevOps and Jenkins.