Senior Data Scientist, Algorithm (Lending & Onboarding)
On-siteSingapore, Singapore
Singapore, SingaporeOn-siteFull TimeSenior LevelDoctorate Or Professional DegreeFinancial ServicesLarge
Full TimeSenior LevelDoctorate Or Professional DegreeLargeFinancial Services
Job Summary
Build real-time ML models to prevent account takeover and fraud, and develop credit risk frameworks to assess merchant risk and support lending growth. Translate business requirements into analytical strategies across fraud, credit, and onboarding domains while designing performance monitoring and decision-support tools. Partner with Product, Engineering, and Operations teams to turn data insights into production strategies that drive measurable business impact. This role focuses on tackling complex risk problems in a fast-paced, high-growth environment within the global payments platform.
Required Qualifications
- 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
Desired Qualifications
- Experience in credit, fraud, or related risk domains
- Hands-on experience in model development, validation, or monitoring
- Experience designing risk rules, decision strategies, or performance monitoring frameworks
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