Senior Data Scientist - Risk & Fraud Analytics

P2P; Singapore; On-site; SGD 80,000 - 100,000; Full time

Benefits offered by this job

Competitive total compensation package

L&D programs and Education subsidy

Wellness and meal allowances

Comprehensive healthcare schemes

Job summary

A leading crypto exchange in Singapore is seeking a Senior Data Scientist to identify complex fraud patterns and leverage machine learning techniques. The right candidate will possess a Master's degree and at least 4 years of experience in fraud analytics within financial services or FinTechs. Responsibilities include data mining, collaborating with technical teams, and developing models. The role offers a competitive compensation package and emphasizes innovation and problem-solving.

Qualifications

• Master’s degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline.
• 4+ years of fraud analytics experience in financial services or FinTechs.
• Deep understanding of modern machine learning techniques/algorithms including GBM, XGBoost, LGBM, etc.

Responsibilities

• Identify complex fraud patterns and their technical root causes through detailed data mining and analysis.
• Serve as technical SME by sharing new data mining techniques and interfacing with partner technology teams.
• Collaborate with business and technology stakeholders to communicate analytical findings.

Skills

Fraud analytics experience

Machine learning techniques

Strong communication skills

Project management skills

Education

Master’s degree or PhD in a quantitative discipline

Tools

SQL

R

Python

Job description

A leading crypto exchange in Singapore is seeking a Senior Data Scientist to identify complex fraud patterns and leverage machine learning techniques. The right candidate will possess a Master's degree and at least 4 years of experience in fraud analytics within financial services or FinTechs. Responsibilities include data mining, collaborating with technical teams, and developing models. The role offers a competitive compensation package and emphasizes innovation and problem-solving.