Beathchapman Pte Ltd | Manager, Product Risk Data

Vor 4 Tagen


Melbourne, Österreich Buscojobs Vollzeit

The Role This is a dynamic and varied role with a Big4 Australian Bank that requires a proactive individual, who will be given an in-depth exposure to all aspects of running a successful product.
From a very early stage in your career you will be making business critical decisions to assist the business in formulating commercial strategies.
Responsibilities Develop in depth understanding of the Every Day Banking products and services that the bank provides, and proactively monitor the associated risks. Extract, manipulate and analyse data; code and extract data for product analytics using Teradata SQL, Ms Excel, Ms Access and other tools, to make quantitative and qualitative decisions for risk identification. Periodically review behaviours of the client base, deliver detailed analysis to provide deeper understanding of usage of the product to help inform strategy going forward. Liaise with internal clients to understand their requirements, suggest ways to improve targeting and provide analysis of the customer base. Back up other team members and quality check produced by the team. Requirements Strong mathematical background, with a tertiary degree preferably in an analytical field such as mathematics or statistics. Interest in all major retail banking products, with an in-depth knowledge of consumer deposits a significant plus. Business acumen: has experience in a product analytics environment; has a nose for business, uses insights to impact commercial drivers. Strategic and analytical mind: takes a long-term view and anticipates future trends and implications. Drive results: is highly energised and motivated to achieve results that impact the bottom line. Communication: effective and successful when presenting data and insights to a variety of internal and external key stakeholders. Accountable: takes ownership for the delivery of tasks and projects, setting own priorities and managing deadlines. Advanced SQL is essential; Python and R are favourable. For further information on this role or to confidentially apply, please send an up to date CV to or / and contact Eugena Gong on or apply directly via the Apply for this job button.
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