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Senior Data Scientist, Anaytics (Risk & Compliance)

Airwallex· Product
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SG - SingaporeFull-timePosted 7mo ago

About the role

Senior Data Scientist responsible for the analytics layer of Airwallex's regulatory data infrastructure, partnering with Regulatory Compliance and Financial Crime Compliance to standardise reporting, build data foundations and self-service analytics for regulators, auditors, and senior leaders.

Responsibilities

  • Lead analytics and data design for priority regulatory reports (e.g. regulatory compliance, financial crime, and financial regulatory returns), from requirement translation through to data logic, testing, and go‑live.
  • Partner with Regulatory Compliance, FCC, Finance, DataOps and Data Engineering to standardise how we use common dimensions across reports, leveraging the regulatory reporting data foundation.
  • Co-design data models and mart-layer logic with Data Engineering — actively shaping reporting dimensions, testing, and versioning upstream.
  • Define automated test suites and manual QA playbooks with Data Engineering before reports are submitted to regulators.
  • Conduct deep‑dive analyses when anomalies, RFIs, or audit findings arise – quantify impact, identify root causes, and propose remediation options.
  • Shape requirements for a scalable regulatory reporting and risk analytics platform.
  • Champion best practices in analytical rigour, documentation, and validation; provide informal mentorship to analysts and data scientists.

Qualifications

  • 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: modular, tested, documented SQL transformations (e.g. dbt or equivalent) and layered data thinking (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 visualization coexist)
  • 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

Skills

Required:SQLPythonData modeling
Nice to have:dbt or equivalentRegulatory reporting

Benefits

  • Not specified in the description
Last updated Oct 7, 2026. Interested? Apply on the company site.
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