Description
About the Role
As a Senior Data Scientist, Analytics (Regulatory Reporting) at Airwallex, you will own the analytical layer of Airwallex's regulatory data infrastructure, defining what "correct" means, building systems that prove it, and working at the intersection of data engineering, compliance logic, and product intelligence.
Responsibilities
- Lead analytics and data design for priority regulatory reports, from requirement translation through to data logic, testing, and go-live.
- Partner with Regulatory Compliance, FCC, Finance, DataOps, and Data Engineering to standardize how common dimensions are used across reports.
- Co-design data models and mart-layer logic with Data Engineering.
- Work with Data Engineering to define automated test suites and manual QA playbooks.
- Conduct deep-dive analyses when anomalies arise.
- Shape requirements for a scalable regulatory reporting and risk analytics platform.
- Champion best practices in analytical rigor, documentation, and validation.
Requirements
- Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics, or related quantitative discipline.
- 5+ years of hands-on experience with large data, SQL, and scripting in Python, Shell, or R.
- 5+ years of proven risk management experience.
- Familiarity with analytics engineering practices.
- Experience building exploratory and production-grade analytics.
- Excellent communication and stakeholder-management skills.
Preferred Qualifications
- Direct experience working on regulatory reporting for risk and compliance.
- Hands-on experience with dbt and a modern data warehouse.
- Understanding of data pipeline design.
- Exposure to model risk or AI/ML governance.
- Experience working with cross-functional, geographically distributed teams.