Data Scientist

Posted 2 Days Ago
Be an Early Applicant
NSW
Entry level
Fintech • Financial Services
The Role
As a Data Scientist in the RBS Consumer Finance team, you will develop and manage predictive models to enhance customer outcomes, improve credit risk decisioning, and contribute to strategic business decisions. Your role includes utilizing advanced data science techniques and driving continuous improvement initiatives while collaborating with key stakeholders.
Summary Generated by Built In
  • You are passionate about all things data related with a positive attitude.

  • We are a high performing team with a passion for innovation and continuous improvement.

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

Do work that matters

Retail Banking Services (RBS) is the public face of CommBank, delivering a seamless banking experience for the future, to our 10 million+ personal and small business customers. We offer market-leading products and services, supported by some of the world’s best systems and processes.

As a Data Scientist within the RBS Decision Science Consumer Finance team, you will support the development and management models for the Consumer Finance business which help improve outcomes for our customers. This includes areas such as credit risk decisioning where our models help assess thousands of customer credit applications a day, customer contact strategy where models are used to help identify customer needs - and more generally any area where modelling and AI can add value to customer outcomes. You’ll work closely with key stakeholders, such as the Portfolio teams, Finance and Group to ensure modelling outcomes are accurate and are in alignment to the strategic direction of the business.

Our team culture is centred on collaboration, growth, and learning, sharing new ideas and innovation. We are passionate about data and modelling, and we work together to creatively problem solve a wide variety of challenges that all adhere to our core principles around data quality and reuse.

See yourself in the team

The Decision Science team within Retail Banking Services is responsible for creation of AI and modelling solutions to improve the financial well-being of our customers and communities.

The Decision Science Consumer Finance team within Retail Banking Services supports the Consumer Finance business through the development and maintenance of predictive models, creating insights to enable business decision making at a strategic and tactical level. These models help support end-to-end product performance of all the retail Consumer Finance products (e.g. Credit Cards, Personal Loans, StepPay, CommBank AdvancePay) across all key applications, including marketing, credit risk, operations and portfolio management.

Role and Responsibilities:

You will be responsible for the development and management of key modelling assets within the team, with an objective to utilise state of the art data science and statistical techniques to improve business and customer outcomes.

More specifically this will include:

  • Driving value through timely delivery of industry leading machine learning and statistical models that solve defined business issues and are fully compliant with all required policies and governance.

  • Ensuring outlined methodologies are followed, whilst also identifying and driving the delivery and embedment of continuous improvement initiatives.

  • Proactively contributing to and encouraging the sharing of knowledge with team members and stakeholders.

  • Demonstrating the group values.

  • Be proactive in own career planning and personal development.

We want to hear from you if you have:

  • Demonstrated knowledge of building predictive machine learning models and statistical models, and other advanced analytical techniques.

  • High attention to detail and concern for accuracy, completeness and appropriateness of solutions.

  • Advanced technical skills - ability to generate actionable value-add insights by understanding complex data and using tools such as Python, R, Spark, Teradata SQL.

  • A relevant tertiary qualification e.g. Mathematics, Statistics, Economics, Biostatics, Econometrics, Computer Science, Engineering or similar.

Working with us:

Whether you’re passionate about customer service, driven by data, or called by creativity, a career here is for you. At CommBank, 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 on our website.

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive and flexible workplace. We are working hard to recruit people who represent the diversity of our customers and our society. If you're excited about this opportunity but you don't meet every single requirement, or your experience doesn't align perfectly, we still want to encourage you to send in your application. You may just be the perfect candidate for this opportunity or another within CommBank.

APPLY NOW, to live your best life doing your best work with us!

If this sounds like you then apply today!

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: 28/11/2024

Top Skills

Machine Learning
Statistical Modeling
The Company
HQ: Sydney, New South Wales
52,000 Employees
On-site Workplace
Year Founded: 1911

What We Do

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. We offer a full range of financial services to help all Australians build and manage their finances.

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