Senior Data Scientist, Analytics (Regulatory Reporting)

Role Overview

As a Senior Data Scientist, Analytics (Risk & Compliance), 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.

What You Will Do

You will lead analytics and data design for priority regulatory reports, partner with Regulatory Compliance and Financial Crime Compliance teams, and build robust data foundations, validation frameworks, and self-service analytics.

Why It Might Be a Fit

You will champion best practices in analytical rigour, documentation, and validation for colleagues working on risk and compliance topics, and provide informal mentorship to analysts and data scientists in adjacent teams.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
• 5+ years of hands-on experience extracting and manipulating large data with SQL, experience with scripting in Python, Shell or R
• 5+ years proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management
• Familiarity with analytics engineering practices: writing modular, tested, documented SQL transformations (e.g. dbt or equivalent), and thinking in layers: source → staging → marts
• Experience building exploratory and production-grade analytics using modern data tools (e.g. Hex, Evidence, or notebook-style environments where SQL, Python, and visualisation coexist in the same workflow)
• Excellent communication and stakeholder-management skills: able to explain technical data topics to non-technical audiences, document assumptions clearly, and influence cross-functional partners across Legal, Risk, Compliance, Finance, and Engineering

Benefits

• Dental insurance
• Vision insurance
• Medical insurance
• Health insurance
• Life insurance
• Disability insurance
• Retirement plan
• 401(k) match
• Paid holidays
• Paid time off
• Flexible work arrangements
• Professional development opportunities
• Wellness programs
• Employee assistance programs

Tagged as: Python, SQL