Credit Risk Strategy Manager


Sydney, New South Wales, Australia


Jun 29

This job is no longer accepting applications.

Job Description Summary:

The PayPal Credit team is looking for a high-performing professional to develop the next generation of frameworks and strategies for Risk Policy actions.Job Description:

As Credit Risk Strategy Manager you will be responsible for working with our bank partner to conceive, design & monitor credit risk management strategies to improve business profitability in the areas of underwriting, credit line management, universe expansion and alternative data evaluation for Consumer Lending.

This is a highly visible role in our Credit Team where you would:

  • Analyze customer level information to determine the effectiveness of credit policies and recommend necessary changes to improve profitability.
  • Find innovative ways to use data and processes to improve risk management strategies and the customer experience.
  • Analyze portfolio trends to deliver strategic business insight from internal and external data.
  • Identify business solutions and optimisation through various statistical and quantitative methods.
  • Derive insights from data and communicate those insights to a non-technical audience through presentations and documentation.  The goal is to propose concise and actionable business strategies from vast amounts of data for Sr. Management, both internal and external.
  • Present new strategy recommendations for management approval.
  • Use data and communications skills to persuade internal and external business partners to adopt proposed strategies.

Those who have proven experience providing business solutions improving upon econometric modelling product offerings using quantitive models will thrive in this data centric role. You will be curious by nature and have that Data Scientist edge where you can analyse and mine data providing useful business insights to internal and external business partners.

Requirements to see success:

  • Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline.
  • 5+ years post tertiary working experience within a data-mining, quantitative research or analytics organization.
  • Credit risk experience is a must.
  • Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis.
  • Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis.
  • Must have good business judgment with demonstrated ability to think creatively and strategically.
  • Aptitude and willingness to roll-up the sleeves and get involved in the details.
  • A high level of proficiency with programming languages used in data science, including Python and SQL.
  • Proficiency in dealing with large datasets (data mining etc.)
  • Excel, Word, and PowerPoint proficiency.

Nice to haves:

  • Experience with visualisation and dashboarding software (Tableau, Power BI).
  • Proficiency with Hadoop, Spark, or other big data platforms.
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