Senior Data Scientist, Regulatory Reporting & Analytics

Airwallex; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

Airwallex, based in Singapore, seeks an experienced Senior Data Scientist, Analytics (Risk & Compliance) to own the analytical layer of its regulatory data infrastructure and build robust data foundations. You will partner with Regulatory Compliance, FCC, Finance, DataOps and Data Engineering to deliver scalable reporting and risk analytics, shaping models, tests, and validation processes.

This role offers a fast-moving, globally connected tech environment with opportunities to mentor analysts

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: 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

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 (accounts, FX, products, entities) across reports, leveraging the regulatory reporting data foundation
• Co‑design data models and mart‑layer logic with Data Engineering — not just a consumer of tables, but an active voice in how reporting dimensions are structured, tested, and versioned upstream
• Work with Data Engineering to define automated test suites and manual QA playbooks that must pass before reports are submitted to regulators
• Conduct deep‑dive analyses when anomalies, RFIs, or audit findings arise – quantifying impact, identifying root causes across products/entities, and proposing remediation options
• Shape requirements for a scalable regulatory reporting and risk analytics platform
• Champion best practices in analytical rigour, documentation, and validation for colleagues working on risk and compliance topics; provide informal mentorship to analysts and data scientists in adjacent teams

Skills

SQL

Python

Shell

R

Analytics engineering

dbt

BigQuery

Databricks

Snowflake

Data visualization

Communication

Stakeholder management

Regulatory reporting

Education

Bachelor's degree or higher in quantitative field

Tools

dbt

BigQuery

Databricks

Snowflake

Hex

Evidence

Job description

Airwallex, based in Singapore, seeks an experienced Senior Data Scientist, Analytics (Risk & Compliance) to own the analytical layer of its regulatory data infrastructure and build robust data foundations. You will partner with Regulatory Compliance, FCC, Finance, DataOps and Data Engineering to deliver scalable reporting and risk analytics, shaping models, tests, and validation processes.

This role offers a fast-moving, globally connected tech environment with opportunities to mentor analysts