What you'll do
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.
This role is based in Singapore.
Responsibilities:
- Craft and refine risk strategies which include defining risk controls, 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 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
Who you are
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum qualifications:
- 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
Preferred qualifications:
- 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
