Chapter Lead Decision Science(Senior Manager) Commonwealth Bank of Australia Sydney, Australia
Chapter Lead Decision Science(Senior Manager) Commonwealth Bank of Australia Sydney, Australia Posted 2 days ago Permanent Competitive You are a technical leader with a passion for empowering people to reach their potentialWe are undergoing one of Australia's largest digital transformationsTogether we can reimagine banking for millions of customers You are a technical leader with a passion for empowering people to reach their potentialWe are undergoing one of Australia's largest digital transformationsTogether we can reimagine banking for millions of customers Do work that matters
As a Data Science Chapter Lead within the Decision Science Consumer Finance Modelling Team, you will lead a team to support the development and management of models for the Consumer Finance Business. This role involves leading and mentoring a team of data science and statistical modelling professionals to navigate the business and deliver high quality modelling solutions 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 & 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 Chief Data and Analytics Office (CDAO) team is responsible for leading the delivery of world-class data, analytics and technology capabilities to improve the financial well-being of our customers and communities.
The Decision Science Consumer Finance Modelling team within CDAO 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 credit risk, marketing, 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 foster a team vision and approach that utilises state of the art data science and statistical techniques to outperform the market with regards to credit risk origination and portfolio management. You will be expected to drive higher quality/efficient use of data through continuous process improvements.
More specifically this will include: Lead, mentor and guide junior data scientists in the team to deliver projects and outcomes for the business. As well as leading and mentoring, you'll be expected to make individual hands-on contributions which help drive innovation for the team.Present solutions to senior business and non-technical stakeholders.Utilise data science and machine learning techniques in Python or R to drive model development to solve key business problems.Collaborate with key business areas, including Product and Pricing, Line 1 risk and Credit risk to provide implementable modelling/analytical solutions and insights that drive profitable growth and productivity.Work closely with colleagues in the broader modelling analytics community to create a centre of excellence. We want to hear from you if you have: Excellent written & verbal communication skills are required in this role to coordinate and influence senior cross-functional stakeholders and contribute to an empowered high performing team.Exceptional statistical / analytical / data science knowledge with the ability to work in both theoretical and practical analysis spaces.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, Econometrics, Computer Science or Engineering. If this sounds like you then apply today!
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.
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: 04/07/2024 Job ID REQ210741
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