Senior Data Scientist, Algorithm (Lending & Onboarding)

Airwallex
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Problem-solving","Cross-functional collaboration","Analytical thinking","Ownership","Decision-making"]

Build and deploy real-time machine learning models for risk use cases across account takeover prevention, fraud decisioning, credit risk, and onboarding. Translate business problems into analytical frameworks, strategies, models, and scalable data solutions. Design performance monitoring and decision-support tools to improve risk visibility and decision quality, and collaborate cross-functionally to turn insights into measurable production strategies.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Airwallex
Airwallex
1 month ago

Senior Data Scientist, Algorithm (Lending & Onboarding)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build and deploy real-time machine learning models for risk use cases across account takeover prevention, fraud decisioning, credit risk, and onboarding. Translate business problems into analytical frameworks, strategies, models, and scalable data solutions. Design performance monitoring and decision-support tools to improve risk visibility and decision quality, and collaborate cross-functionally to turn insights into measurable production strategies.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Build real-time ML models to protect customers and platform assets, including account takeover prevention and fraud decisioning
  • •Develop credit risk models and analytical frameworks to assess merchant risk and support lending growth
  • •Translate business requirements into analytical, modeling, and strategy problems across fraud, credit, onboarding, and related risk domains
  • •Design performance monitoring, metrics frameworks, and decision-support tools to improve risk visibility and decision quality
  • •Partner with Product, Engineering, Operations, and other teams to turn data, models, and insights into production strategies with measurable impact

Key Requirements

  • •3+ years of experience in analytics, data science, risk strategy, or a related quantitative role
  • •Bachelor’s degree or above in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline
  • •Proficient in Python and SQL
  • •Strong problem-solving skills and experience working with large datasets
  • •Experience partnering with cross-functional stakeholders to solve business problems
Experience:3+ yearsRiskCreditFraud
Education:Bachelor's in quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering)
Skills:Problem-solvingCross-functional collaborationAnalytical thinkingOwnershipDecision-making
Tech Stack:PythonSQLMachine learningReal-time ML

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
Glassdoor: 3.7
WebsiteLinkedInGlassdoor