Airwallex

4 months ago

Senior Data Scientist, Analytics (Regulatory Reporting)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior Data Scientist, Analytics (Risk & Compliance) serves as the analytics partner for Regulatory Compliance and Financial Crime teams, building robust data foundations, validation frameworks, and self‑service analytics to support regulatory reporting and risk oversight across Airwallex’s global footprint. You’ll lead analytics for priority reports, standardize data dimensions with cross‑functional teams, create automated tests, and mentor analysts.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key 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.
•Work with Data Engineering to define automated test suites and manual QA playbooks that must pass before reports are submitted to regulators.
•Leverage snapshotting and versioning approaches so that “as‑of” historical reports can be regenerated and explained consistently during RFIs, audits, or supervisory exams.
•Conduct deep‑dive analyses when anomalies, RFIs, or audit findings arise – quantifying impact, identifying root causes across products/entities, and proposing remediation options.

Key Requirements

•Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
•5+ years proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management
•5+ years of hands-on experience extracting and manipulating large data with SQL, experience with scripting in Python, Shell or R
•Experience building visualizations using Looker or Tableau
•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.

Experience:5+ yearsRegulatory ReportingRisk managementAnalyticsData manipulationVisualization

Education:Bachelor's in Mathematics, Statistics

Skills:CommunicationStakeholder managementInfluencingAnalytical thinkingMentorship

Tech Stack:SQLPythonShellRLookerTableau

Company Brief

Airwallex

Airwallex is a global payments and financial platform that provides business accounts, cross-border payments, treasury, corporate cards, and embedded finance APIs to help companies manage global financial operations and scale internationally.

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Singapore, Singapore

Founded: 2015

Glassdoor: 3.7

Website LinkedIn Glassdoor

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Airwallex

4 months ago

Senior Data Scientist, Analytics (Regulatory Reporting)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key 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.
•Work with Data Engineering to define automated test suites and manual QA playbooks that must pass before reports are submitted to regulators.
•Leverage snapshotting and versioning approaches so that “as‑of” historical reports can be regenerated and explained consistently during RFIs, audits, or supervisory exams.
•Conduct deep‑dive analyses when anomalies, RFIs, or audit findings arise – quantifying impact, identifying root causes across products/entities, and proposing remediation options.

Key Requirements

•Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
•5+ years proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management
•5+ years of hands-on experience extracting and manipulating large data with SQL, experience with scripting in Python, Shell or R
•Experience building visualizations using Looker or Tableau
•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.

Experience:5+ yearsRegulatory ReportingRisk managementAnalyticsData manipulationVisualization

Education:Bachelor's in Mathematics, Statistics

Skills:CommunicationStakeholder managementInfluencingAnalytical thinkingMentorship

Tech Stack:SQLPythonShellRLookerTableau

Company Brief

Airwallex

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Singapore, Singapore

Founded: 2015

Glassdoor: 3.7

Website LinkedIn Glassdoor