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Senior Data Scientist, Analytics (Risk & Fraud)

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Airwallex

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Location:
China , Shanghai

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Airwallex is building a centralised risk platform that will harness advanced analytics and machine learning techniques to enable real-time decisioning across a diverse range of product lines and platforms. The risk product domain is responsible for building the platforms, engines & case management whilst also delivering the risk models so you will be involved in crafting the full end-to-end risk capability. This role will work on building out Airwallex’s risk product domain focusing on analyzing the compliance impact on transactions as well as delivering a financial crime detection and prevention solution. You will be responsible for conducting risk analysis on transaction level and merchant level, developing risk detection framework, and empowering business.

Job Responsibility:

  • Craft and refine risk strategies which include defining risk controls, the customer experience and operational workflows with emphasis on minimizing the impact on customers, our brand and organizational critical metrics
  • Use data driven insights to seize opportunity, measure performance and to determine what is working and what is not working
  • Monitor performance of existing & new solutions and optimize to ensure desired results
  • Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval
  • Collaborate with partners in Platform, Operations and other internal teams, as well as external partners like data vendors to formulate and execute fraud risk solutions

Requirements:

  • Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
  • 5+ years proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management
  • 5+ years of hands-on experience extracting and manipulating large data with SQL, experience with scripting in Python, Shell or R
  • Experience building visualizations using large datasets and multiple data sources using Looker or Tableau

Nice to have:

  • Master's degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
  • 5+ years proven fraud or risk experience, including rule development, modeling implementation, and stakeholder management, in well-known fintech or internet companies preferred
  • Intuitive, organized analytical thinker, with the ability to perform detailed analysis. Knowledge of analytical tools and use of data to validate strategies or hypotheses
  • Demonstrates excellent consensus building written, verbal and presentation skills with senior leaders of the organization
  • Experience working with cross-functional, geographically distributed teams, managing by influence is a plus

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:
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