Senior Data Scientist, Algorithm (Fintech)

TL;DR

Senior Data Scientist, Algorithm (Fintech): Developing real-time ML models for fraud prevention and credit risk assessment to support the growth of global lending and onboarding systems with an accent on analytical frameworks and scalable data solutions. Focus on designing performance monitoring tools, building Account Takeover prevention systems, and translating business risk requirements into production-ready ML strategies.

Location: Singapore

Company

A unified payments and financial platform for global businesses, providing integrated solutions for accounts, payments, and treasury management.

What you will do

• Build real-time ML models for Account Takeover prevention and fraud decisioning to protect platform assets.
• Develop credit risk models and analytical frameworks to assess merchant risk for the lending business.
• Translate complex business requirements into analytical, modeling, and strategy problems.
• Design performance monitoring, metrics frameworks, and decision-support tools to enhance risk visibility.
• Partner with Product, Engineering, and Operations to turn data insights into measurable business impact.

Requirements

• 3+ years of experience in analytics, data science, risk strategy, or a related quantitative role.
• Bachelor’s degree or above in Statistics, Mathematics, Computer Science, Engineering, or a related discipline.
• Proficiency in Python and SQL.
• Strong problem-solving skills and experience working with large datasets.
• Experience partnering with cross-functional stakeholders to solve business problems.

Nice to have

• 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.

Culture & Benefits

• Opportunity to work on high-impact problems directly influencing payment success and business outcomes.
• Collaborative, fast-paced, high-growth environment with a talented cross-functional team.
• Culture based on ownership, first-principles thinking, and "founder-like energy".
• Emphasis on using AI to work smarter and solving problems faster.