Senior Fraud Data Analyst

Airwallex is the leading financial technology platform for modern businesses growing beyond borders. With one of the world’s most powerful payments and banking infrastructure, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all in one single platform.

Established in 2015 in Melbourne, our purpose is to connect entrepreneurs, business builders, makers and creators with opportunities in every corner of the world. Today, Airwallex has a global footprint across Asia-Pacific, Europe, and North America.

This role will work on building out Airwallex’s risk product domain with a focus on delivering a financial crime detection and prevention solution across all product domains. 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.
- As a fraud data analyst, the principal responsibility of this role will be to conceive, design, and monitor fraud risk management strategies to manage fraud losses and improve business profitability for our acquiring, payout and FX products. You will be responsible for developing risk detection framework and fraud solutions to ensure optimal balance between user experience, business enablement, operational expense and loss exposure.

**Responsibilities**:

- 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 size 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 partner in Platform, Operations and other internal teams, as well as external partners like data vendors to formulate and execute fraud risk solutions

**Qualifications**:

- Msc/BS degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline.
- 2-5 years proven fraud or credit risk experience or equivalent, including analytics, modeling implementation, and stakeholder management.
- Must be an 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.
- Proficiency in SQL and in at least one statistical analysis tool: Python / R / SAS

At Airwallex you’ll have the ability to make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing a collaborative open office space with a fully stocked kitchen. We organise regular team building events and we give our people the freedom to be creative.

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard colour, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.