Monee
Data Science (Risk) - Monee (2025 Graduate)
MoneeSingapore18 hours ago
Full-timeEngineering, Information Technology
Job Description

  • Develop credit risk models to accurately assess user credit worthiness, supporting the expansion of Retail Finance and SME Finance businesses.
  • Identify fraudulent behaviors from large-scale user data and build models to detect anomalies and mitigate fraud risks.
  • Develop and maintain a feature pool consisting of both Shopee ecosystem data and third-party data, extracting valuable insights from massive datasets. Utilize statistical methods and machine learning techniques to transform raw data into a structured format that enhances model performance.
  • Explore and apply deep learning and Generative AI in credit assessment to improve risk detection, enhance underwriting efficiency, and optimize risk management processes.
  • Build and maintain graph databases, and explore the applications of graph-based models in risk management.
  • Conduct continuous data mining to generate actionable insights, supporting business decision-making and problem-solving.

Requirements

  • Open to fresh graduates graduating between July - December 2025.
  • Bachelor’s degree in Machine Learning, Business Analytics, Information Technology, Finance, Economics, Statistics, Mathematics, or other related fields.
  • Strong understanding and hands-on experience with machine learning models (e.g., boosting trees, regression models) and feature engineering techniques.
  • Solid statistical knowledge and strong data analysis abilities, with the capability to identify problems from data and develop data-driven solutions.
  • Proficiency in SQL and Python is mandatory, with experience in PySpark being a plus.
  • Strong passion and curiosity for credit business, risk management, and data analytics.
  • Experience in network analysis, search and recommendation systems, or other machine learning fields is a plus.

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