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Australia’s leading provider of financial services including retail, premium, business and institutional banking, funds management, superannuation, insurance, investment and sharebroking products and services.

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About CBA Technology Recruitment

Commonwealth Bank - Analytics & Information


Australia’s leading provider of financial services including retail, premium, business and institutional banking, funds management, superannuation, insurance, investment and sharebroking products and services. We are a business with more than 800,000 shareholders and over 52,000 employees. In recent years, we have undergone a remarkable transformation with our focus on technology, which supports the customer experience. We are now truly recognised as technology leaders. We are proud to have been awarded as one of the top 10 coolest tech companies in 2014 by jobadvisor.com and we have been ranked in the top 10 most innovative companies by BRW for the past two years.

Big data and data science are changing the world. At CommBank we understand this and have significant focus on using the power of data and analytics to transform our business and to provide differentiated customer experience

Associate Data Scientist

Commonwealth Bank - Analytics & Information


These are associate level roles and not affiliated with the CBA Graduate Program. These applications are open to all visa types.

Analytics & Information (A&I) is the machine learning and data science group at CBA that brings together datasets from all across the Bank to enable advanced analytics and business intelligence.

We are looking for Associates to join A&I’s data science team. Data science is a technical career that is increasingly in demand. It allows you to bring your technical abilities to the task of solving real world business problems using the most cutting edge technologies and techniques from computer science and statistics. At A & I as a data scientist you build solutions that will have material impact on our customers lives; we are the biggest bank in Australia, and one of the biggest in the world, and we provide a unique capability to understand the financial behavior of up to 40% of Australia’s population. We work alongside many businesses and people across the bank including engineers and software developers, actuaries, economists, finance and business experts. All whom look to our team to help them solve a variety of different problems, from helping them collate and visualize data, design interactive dashboards, identify statistical patterns and create predictive models.

As an Associate Data Scientist you must be bright, curious and passionate about turning data into actionable insights. Day to day you will find yourself analysing data, building models, designing experiments, and trying to figure out how to deal with large and complex datasets- we handle petabytes of data.  The environment you will work in is highly collaborative- working on the Hadoop ecosystem, you will have the opportunity to work closely with data engineers to create scalable, end-to- end solutions for our customers. You will also be expected to work closely with the business to understand the problem and deliver optimal and efficient solutions through effective written and verbal communication and presentations. The problems you will work on will also be diverse, covering anything that could impact business, our customers or the community; with previous work having been in customer propensity models, process optimization, financial crimes and recently, dynamic population modelling.

You will be joining a large and experienced Data Science team that offers many opportunities for mentoring and learning. The team come from diverse backgrounds (including computer science, electrical and mechanical engineering, mathematics, statistics, biomedical science and physics), all of whom are passionate about data and are committed to innovation through technology, idea generation and independent thought. You will also be expected to actively contribute back to the scientific community through input to open source projects and scientific literature, review of existing literatures and new methods and/or participation in academic collaborations.

Please apply if you are:

  • Practiced at working with data and extracting meaningful insights from it
  • Comfortable with using quantitative and statistical techniques (e.g. machine learning, forecasting, and predictive modeling) to solve problems
  • A creative and innovative problem solver who wants to turn data into insights,
  • A superior communicator, with the ability to explain content to multidisciplinary audiences (both technical and non-technical)
  • Driven, curious and eager to tackle a wide variety of problems, and are able to learn and work independently

Basic Qualifications:

  • Masters and/or PhD degree in Quantitative Field (Computer Science, Statistics, Mathematics, Engineering, Economics or related fired)
  • Solid grounding in applied mathematics and statistics, including expertise in applying these techniques to structured and unstructured data.
  • Demonstrable skills in problem solving, scoping analytic problems, and selecting analytic modeling frameworks
  • Excellent verbal, written, organizational and visual communication skills
  • Demonstrable skills in data visualization (E.g. MATLAB, R, matplotlib, gnuplot)
  • Experience using R, MATLAB, Python or other scripting languages for data prep, analysis, and/or machine learning

Preferred Qualifications:

  • Research experience in a quantitative field (preferably statistical research)
  • Independent education through open online coursework and capstone projects
  • Experience with machine learning algorithms (Generalised Linear Models, Boosting, decision Tree, NN, SVM, Ensemble)
  • Proficient in programming languages in R, Python and/or Scala
  • Contribution to any of: data-science forums, Kaggle, Hack-A- thons, scientific papers or communication; and/or involvement in open-source projects will be highly regarded 
  • Business facing experience
  • Experience with SQL or querying from relational databases
  • Experience Working with large datasets

Associate Data Engineer

Commonwealth Bank - Analytics & Information


These are associate level roles and not affiliated with the CBA Graduate Program. These applications are open to all visa types.

Work type: Permanent full time
Location: Sydney CBD

Big data and data science are changing the world. At CommBank we understand this and have a significant focus on using the power of data and analytics to transform our business and to provide a differentiated customer experience. We are searching for enthusiastic Data Engineers to join us on this journey.

Our Team

The Analytics & Information team’s vision is to leverage analytics and information to enhance the financial wellbeing of our customers and to provide richer customer experiences. We are also committed to providing high quality information to manage our business and meet regulatory obligations.

We provide a range of services to our internal customers across all business units of the Group including strategy, architecture, data science, business intelligence, engineering, and program delivery. We are also accountable for the Group’s key analytics capabilities including our Group Data Warehouse, Big Data platform and analytics tooling.

We understand that culture and talented people are the keys to success. We have some of Australia’s leading engineers and data scientists, and work hard to create an environment that feels more tech than corporate.

What You'll Do

Data Engineers work with customers around the group, where they gain unique insight and understanding of the critical business processes and the strategic projects of the various business units they interact with. You will utilise cutting-edge technologies to solve our customers' hardest data centric problems. One of your key responsibilities will be designing and building fit for purpose analytical records for modelling and decisioning over a variety of domains and problems spaces.

Your key areas of responsibilities are:

  • Understand our customers' core business objectives and design end-to-end data centric solutions to address them
  • Act as a thought leader, enabling analytics teams to deliver world class analytics by championing sustainable and re-useable data products
  • Participate in the full lifecycle of agile projects (ideation through implementation)
  • Design and build group data products by integrating diverse data from hundreds of internal and external sources
  • Support the design and construction of large scale automated machine learning and data mining

What we value

Data Engineers are developers with a passion for using technology and data to achieve a business outcome. We balance creativity, expertise and business acumen to create data products that revolutionise the group.

To support our goals, we value:

  • **Collaboration**: We work with our customers to understand and solve their problems
  • **Commitment**: We see projects through from beginning to end in spite of obstacles we may encounter.
  • **Balance**: We do whatever is necessary to finish the job nut we take the time we need to ensure an optimal work-life balance
  • **Communication**: We communicate complex technical concepts to both technical and non-technical audiences
  • **Improvement**: We push ourselves to grow and develop in new ways
  • **Engineering Culture**: You do not have to be computer scientist to have the right attitude. You do have to speak up when things aren't right and build things that fix what's broken.

Who are we looking for?

You are a highly skilled software developer who thrives in a challenging environment. You are curious and tenacious when it comes to solving problems be it a technical or data related.

You can demonstrate the following skills and/or experiences:

  • Bachelors in CS/E with 2+ years of relevant experience
  • Strong experience with one of the (object oriented or functional) programming language - Java, Scala, C++, C#
  • Strong scripting skills in at least one of these: Python, Perl, Javascript, Shell scripting
  • Strong knowledge of data structures, algorithms, operating systems, and/or distributed systems.
  • Excellent communication and presentation skills

Desirable Experience

  • Masters in mathematics, statistics or equivalent quantitative discipline
  • Experience building ML/data mining production systems (tools & services)
  • Domain experience in consumer finance, banking
  • Experience delivering fast paced, agile, cross discipline projects

Technologies We Use

Our approach is to utilise the technology that is best positioned to solve the problem at hand. This often means that we are leveraging the open-source community while building our own tools and services.

We currently use:

  • Hadoop and Spark for distributed data storage and processing
  • Teradata, Hbase and Cassandra to support OLAP and OLTP requirements
  • Scala and Java for our back-end applications and data integration tools
  • Tableau, d3 and Shiny for presentation of data insights
  • Python and R for data science, machine learning and rapid data profiling
  • Cloudera Search / Solr to support fast, flexible and familiar data exploration
  • Internal frameworks (Maestro, Coppersmith)

Associate Systems Engineers

Commonwealth Bank - Analytics & Information


These are associate level roles and not affiliated with the CBA Graduate Program. These applications are open to all visa types.

We need highly talented professionals who thrive in a challenging environment, and are curious and tenacious when it comes to solving problems be they technical or data related.

We do more than software development. Engineering is a mindset where we take responsibility for continuous improvement, delivery of product outcomes, and awareness of the cost implications of our decisions. We look for people to speak up when things aren’t right, fix what’s broken, but most of all to exemplify a determination to innovate and create.

We need Systems Engineers with ideally some Linux background and some exposure to large scale cluster operations. Demonstrable experience with modern software defined infrastructure practices is beneficial. Production experience with Hadoop and/or Docker workloads, and infrastructure related source contribution s are advantageous.

Skills & Requirements

We recognize many systems professionals joined the industry directly and may not have formal education in Computer Science or Engineering we welcome all applicants provided they demonstrate an appreciation for CS/E foundations i.e. evidence-based decision making and taking responsibility for outcomes. Applied to Systems Engineering and DevOps this an ability to develop solutions that are elegant, pragmatic, principled and robust. Candidates are expected to have developed a breadth of knowledge and an ability to learn , regardless of and indeed beyond their formal education.

We view Systems Engineering as being distinct from Systems Administration; a deep knowledge of Linux internals, the challenges of distributed systems, something of the artiste when troubleshooting & problem solving, and a deep awareness of the shifting realities in system< soperations are necessary grounding. Beyond that we look for people who believe they can change the system, not just make it run. Operations experience must be coupled with strong software development proficiency. We expect fluency in C; Bash scripting is a given (though you should probably know better); and ability in one or more of Perl, Python, Ruby, Rust,or Go. Writing Java is not required but experience running in production at scale is beneficial. Awareness of functional programming is hoped for; actual experience with Haskell or Scala extremely well regarded.

Associate Software Engineers

Commonwealth Bank - Analytics & Information


These are associate level roles and not affiliated with the CBA Graduate Program. These applications are open to all visa types.

Who are we looking for?

We're looking for talented Software Engineers. We need highly skilled professionals who thrive in a challenging environment, and are curious and tenacious when it comes to solving problems be they technical or data related.

We do more than software development. Engineering is a mindset where we take responsibility for continuous improvement, delivery of product outcomes, and awareness of the cost implications of our decisions. We look for people to speak up when things aren't right, fix what's broken, but most of all to exemplify a determination to innovate and create.

Skills & Requirements

The ideal candidate will hold a bachelor's in CS/E and have 5+ years of relevant experience. We also highly value people with academic backgrounds looking to bring their experience to industry; masters and doctorates well regarded. We recognize many systems professionals joined the industry directly and may not have formal education in Computer Science or Engineering. We welcome all applicants provided they demonstrate an appreciation for CS/E foundations

Our work environment is stimulating with small squads working in product-oriented teams. Our Software Engineers are responsible for the core system, written in Scala with supporting tooling written in Haskell. Our Data Scientists carry out analysis with Python and R, all running on Hadoop.

We are one of the largest employers of functional programmers in Australia. Our work environment is stimulating with small squads working in product-oriented teams. Our Software Engineers are responsible for the core system, written in Scala with supporting tooling written in Haskell. Our Data Scientists carry out analysis with Python and R, all running on Hadoop.

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