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Product Risk Data Manager

2 months ago


Sydney, New South Wales, Australia BeathChapman Pte Ltd Full time

About the Role

This is a dynamic and varied role with a leading financial institution 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.

Key Responsibilities

  • Develop an in-depth understanding of the Every Day Banking products and services that the bank provides, and proactively monitor the associated risks.
  • Extract, manipulate, and analyze 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 behaviors of the client base, deliver detailed analysis to provide a 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 work.

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 energized 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 favorable.