Senior Credit Risk Data Scientist

The Group Credit Risk division as part of Optus Group Finance has an opportunity for a Senior Risk Analyst. In the role you’ll report to the Strategy and Analytics Manager. Group Credit Risk is responsible for the overall credit management function including Credit risk acquisitions Fraud, Collections and Recoveries for Optus and its subsidiaries.

The foundation of your expertise will be your ability to directly affect business results and meet GCR KPI’s by applying your analytical and technical skills in innovative ways. Your understanding of business objectives and knowledge of the Credit portfolio to identify risks and opportunities – applying your technical expertise to extract, analyse and present the data required to support your recommendations.

The perks

Optus is a place where we let you do you.  We offer all kinds of benefits, such as:

  • Work collaboratively in an open, agile environment with flexible working hours and location
  • Discounts with over 400 companies Australia wide (Technology, Retail, Home, Fashion and more!)
  • Mobile & Internet discounts, Novated Car Leasing, and other Financial benefits
  • Onsite facilities at Macquarie Park such as a Gym, GP, Mini-Mart, Cafes
  • Training, Mentoring and further learning opportunities
  • Social events, social clubs and sports teams!
  • Regular visits by our various partners, such as mobile dentists, food trucks, charities, independent retailers and fruit vendors!


About you

You are a self-starter with a curious mind and collaborative attitude – A background in a Credit and Collections environment is highly desirable and you will have solid experience with analytical problem solving and possess the following proven skills -

  • Demonstrated ability to execute data processing tasks, including data auditing, preparation, integration, transformation and aggregation using “SQL” AND “R”
  • Demonstrated ability to think of different use-cases that can be solved by data analytics (Consulting)
  • Demonstrated ability to understand the difficulties and challenges of dealing with spatial data OR demonstrated ability to work with variety of data types
  • Demonstrated ability to evaluate different analytical approaches that can be applied to solve a problem, select the most suitable one and justify the selection
  • Demonstrated ability to apply machine learning algorithms and techniques for developing sophisticated predictive and segmentation models to solve complex business problems
  • Demonstrated ability to present complex business problems into clear business recommendations
  • Strong grasp of credit acquisition and collections concepts
  • Strong analytical and communication skills
  • Development of PD models for credit risk and collection behavior
  • Build on expertise with the use of data mining tools and applications (SAS, SAS E-miner, EG and SPSS,R Studio)
  • Advanced MS Excel, MS PowerPoint – advance financial modelling and presentation skills
  • Great communication skills and ability to build relationships with diverse teams
  • Have intense curiosity - a desire to go beneath the surface of a problem, find the questions at its heart and distil them into a very clear set of hypotheses that can be tested

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