Airwallex

4 months ago

Senior Data Scientist, Anaytics (Risk & Compliance)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Data Scientist, Analytics (Risk & Compliance) leads analytics for regulatory reporting and financial crime risk, partnering with Regulatory Compliance, FCC, Finance, DataOps and Data Engineering to design data foundations, validation frameworks, and self-service analytics. You’ll drive cross‑functional collaboration across global regulatory reporting, audits, and risk management, turning complex regulatory questions into structured analytical roadmaps and solutions.

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 large datasets and multiple data sources 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+ yearsFintechPaymentsRegulatory complianceFinancial crime

Education:Bachelor's

Skills:CommunicationStakeholder managementProblem solvingTeam collaborationAnalytical thinking

Languages:English

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

Loading job details...

Preparing the role view and application actions.

Airwallex

4 months ago

Senior Data Scientist, Anaytics (Risk & Compliance)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 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 large datasets and multiple data sources 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+ yearsFintechPaymentsRegulatory complianceFinancial crime

Education:Bachelor's

Skills:CommunicationStakeholder managementProblem solvingTeam collaborationAnalytical thinking

Languages:English

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