Data Analytics Engineer

Posted:
10/16/2024, 9:23:09 PM

Location(s):
Melbourne, Victoria, Australia ⋅ Sydney, New South Wales, Australia ⋅ New South Wales, Australia ⋅ Victoria, Australia

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
Data & Analytics

  • You are a passionate data professional & keen learner

  • We are a values-driven high performing team

  • Together we can deliver an exemplary experience for our stakeholders and the Group

  • Please note this is a 24 month maximum term role

 

Do work that matters

 

Business Banking Risk is responsible for approval and oversight of risk frameworks and processes. You will support the team by seeking opportunities, understanding business challenges, improving, and designing automation solutions (including AI solutions), to overcome the key challenges. To us, data is everything. It is what powers our innovative features and it is the reason we can provide seamless experiences for millions of customers from app to branch.

 

See yourself in our team

The Analytics and Automations team is a fast-paced, high performing team with great development opportunities. As part of the larger Credit Strategy and Analytics team, we are responsible for driving data-driven risk strategies and analysis through our expertise in data science, analytics and visualisation.

As a  key member of the Business Banking Risk Credit Strategy and Analytics, you will be responsible for using your coding and software development skills to address business challenges and improve operational efficiency. This role requires a blend of technical expertise, analytical thinking, and business acumen to design, develop, and implement artificial intelligence (AI) or software solutions that enhance various aspects of the business processes.

The primary focus of this role involves automation, data integration, and application development to streamline workflows and support business decision-making.

 

Key Responsibilities

  • Automation and Application Development: Design and build automated application/solutions to streamline repetitive tasks and optimise processes within the Financial Risk domain. Identify opportunities for automation, develop scripts, and implement tools to enhance productivity across Business Banking and Business Banking Risk Management.

  • Data Integration and Implementation: Work closely with key stakeholders to understand data requirements. Develop data pipelines and integration processes to consolidate data from various sources into strategic platforms, making it easily accessible for modelling, portfolio reporting and analysis.

  • Problem Solving and Troubleshooting: Analyse complex business problems and devise innovative technical solutions. Troubleshoot and debug existing code to resolve issues and optimise performance.

  • Integration of Software Systems: Integrate various software applications and tools to create cohesive, seamless workflows that enhance overall business operations.

  • Security and Compliance: Ensure that all solutions developed adhere to security protocols and comply with relevant industry standards and regulations.

  • Documentation and Training: Create comprehensive documentation for all developed solutions, including technical specifications and user guides. Conduct training sessions for end-users to ensure smooth adoption and utilization of new tools and applications.

 

We're interested in hearing from people who have

  • Programming/Scripting Proficiency: Strong expertise in one or more programming/scripting languages (including R, Python, JavaScript, HTML) and familiarity with software development frameworks and tools (e.g. Git, Github Action Jenkins, Docker, Unix Shell).

  • Visualisation and Reporting: prior experience building dashboards (R Shiny, PowerBI and Tableau) is essential.

  • Data Management: Knowledge of database management systems (e.g., Teradata, Spark, Hive, SQL), data analysis tools (R, Python) and data integration techniques.

  • Cloud Technology: Familiarity with cloud technology (e.g. AWS ECS, AuroraDB, S3)

  • Artificial Intelligence: Familiarity with Statistical Modelling, Machine Learning and Natural Language Processing will be beneficial.

  • Prior experience in developing automation solutions, implementing data systems, or creating business applications is advantageous.

  • Domain Knowledge: Familiarity with banking systems and processes, financial risk management and model development/monitoring would be beneficial in understanding the unique challenges and requirements.

  • A background in Data Science/Analytics/ Computer Science would be highly regarded.

 

If this sounds like you then apply today!

At CommBank/Bankwest, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender and sexual orientation Read more about our commitment to inclusion and diversity.

We believe in working for a place that works for you. We have many flexible working options within our team so talk to us about which arrangements would work best for you.

If you're already part of the Commonwealth Bank Group (including Bankwest), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

 

We’re committed to being an accessible employer and want to make finding your dream job as easy as possible. If you experience any accessibility issues or if you require additional support, please contact HR Direct on 1800 989 696.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 30/10/2024

Commonwealth Bank Australia

Website: https://commbank.com.au/

Headquarter Location: Sydney, New South Wales, Australia

Employee Count: 10001+

Year Founded: 1911

Last Funding Type: Post-IPO Debt

Industries: Banking ⋅ Finance ⋅ Financial Services ⋅ Wealth Management