한국어·English
Airwallex company · OPEN ROLE
- Company
- Supports businesses' cross-border payments, currency exchange, and card issuing on one platform.
- Role
- Analyzes credit and fraud risk through data to support decision-making.
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What you will do
We rewrote the responsibilities and qualifications in plain language instead of copying the original posting.
Responsibilities
- Build real time machine learning models that stop account takeover and fraud.
- Build credit risk models and frameworks that support the lending business.
- Turn business problems into analytical, modeling, and strategy work across fraud, credit, and onboarding.
- Design performance monitoring and metrics frameworks that improve risk visibility and decisions.
- Work with product, engineering, and operations teams to turn models and insights into real strategies.
- Use data to solve credit and fraud risk problems that create real business impact.
What you need
- Have 3+ years in analytics, data science, or risk strategy work.
- Hold a bachelor's degree or higher in a quantitative field such as statistics, math, economics, or computer science.
- Be proficient in Python and SQL.
- Have experience solving problems with large datasets.
- Have experience working with cross functional teams to solve business problems.
Good to have
- Have worked in credit, fraud, or related risk domains.
- Have hands on experience developing, validating, or monitoring models.
- Have designed risk rules, decision strategies, or performance monitoring frameworks.
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Checked 2026-10-18
AirwallexSenior Data Scientist, Algorithm (Lending & Onboarding)Start a mock application