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Senior Data Scientist, Anaytics (Risk & Compliance)

airwallexSG - SingaporeProduct
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Salary
Not listed
Job type
Full-time
Experience
Senior · 5+ yrs
Posted
5 Oct 2026
Status
Open · checked 7d ago

About this role

Airwallex is hiring a Senior Data Scientist, Analytics (Risk & Compliance) based in Singapore to own the analytical layer of its regulatory data infrastructure. This position suits an experienced quantitative professional who wants to work at the intersection of data engineering, compliance logic, and product intelligence.

Role Overview

Airwallex operates an AI-native financial operating system for a real-time, intelligent economy. The Senior Data Scientist, Analytics (Risk & Compliance) serves as the primary analytics partner for Regulatory Compliance and Financial Crime Compliance teams. Located in Singapore, this role focuses on transforming regulatory reporting and risk oversight through robust data foundations and self-service analytics.

Key Responsibilities

Lead analytics and data design for priority regulatory reports, covering requirement translation, data logic, testing, and go-live.
Partner with Regulatory Compliance, FCC, Finance, DataOps, and Data Engineering to standardise the use of common dimensions across reports.
Co-design data models and mart-layer logic with Data Engineering to structure, test, and version upstream reporting dimensions.
Define automated test suites and manual QA playbooks with Data Engineering prior to regulatory submissions.
Conduct deep-dive analyses for anomalies, RFIs, or audit findings to quantify impact, find root causes, and propose remediation.
Shape requirements for a scalable regulatory reporting and risk analytics platform.
Champion analytical rigour, documentation, and validation best practices while providing informal mentorship to adjacent analysts and data scientists.

Requirements

Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics, or a related quantitative discipline.
Minimum of 5 years of hands-on experience extracting and manipulating large data with SQL, alongside scripting experience in Python, Shell, or R.
Minimum of 5 years of proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management.
Familiarity with analytics engineering practices, such as writing modular, tested, and documented SQL transformations and thinking in layers from source to staging and marts.
Experience building exploratory and production-grade analytics using modern data tools where SQL, Python, and visualisation coexist.
Excellent communication and stakeholder-management skills to explain technical data topics to non-technical audiences and influence cross-functional partners.

Nice to Have

Direct experience working on regulatory reporting for the risk and compliance domain.
Hands-on experience with dbt models, tests, docs, and macros, as well as modern data warehouses like BigQuery, Databricks, or Snowflake.
Understanding of data pipeline design across transformation, application, and reporting layers.
Exposure to model risk or AI/ML governance and interest in intersections with regulatory reporting.
Experience working with cross-functional, geographically distributed teams and managing by influence.

Skills and Tools

SQL
Python
Shell
R
dbt
BigQuery
Databricks
Snowflake
Hex
Evidence

About the Company

Airwallex provides a financial operating system designed for a real-time, intelligent economy, serving over 676,000 businesses globally. Founded in Melbourne in 2015, the company maintains co-headquarters in San Francisco and Singapore, supporting over 2,300 employees across 27 offices worldwide with a regulated financial infrastructure spanning multiple continents.

How to Apply

Candidates should apply directly on the official Airwallex careers page.

Skills and tech stack

SQLPythonShellRdbtBigQueryDatabricksSnowflakeHexEvidence

Questions candidates ask

Where is this job located?

This role is based in Singapore.

What level of experience is required?

The candidate must have 5 or more years of proven risk management experience or equivalent, alongside 5 or more years of hands-on experience extracting and manipulating large data with SQL.

What educational background is needed?

A Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics, or a related quantitative discipline is required.

What tools and languages will I use in this role?

The role utilizes SQL, Python, Shell, R, modern data tools like Hex and Evidence, modern data warehouses like BigQuery, Databricks, or Snowflake, and analytics engineering tools like dbt.

How should I submit my application?

Applications should be submitted through the official Airwallex careers page or official LinkedIn page.

Ready to apply?

The application is on the official airwallex careers page.

Apply on company site