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Senior Data Scientist - Risk & Fraud Analytics

P2P

Singapore

On-site

SGD 80,000 - 100,000

Full time

Yesterday
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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.

Benefits

Competitive total compensation package
L&D programs and Education subsidy
Wellness and meal allowances
Comprehensive healthcare schemes

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.
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