Actively Hiring
MO
Risk Expert Data Scientist - Monee
Monee
Singapore
Skills:
Machine Learning
Python
PyTorch
Feature Engineering
Job Description
Job Title: Risk Expert Data Scientist - Monee
Company: Monee
Job Category: Machine Learning
Roles & Responsibilities:
Job Description
* Design and build scalable machine learning models using large\-scale transaction, behavioral, financial, and credit bureau data to support retail and SME lending, covering underwriting, credit limit management, risk\-based pricing, and portfolio optimization.
* Extract actionable insights from complex datasets and apply both traditional statistical methods and advanced deep learning techniques to maximize model performance and business impact.
* Partner closely with Strategy and Business teams to define problems, design modeling solutions, and convert insights into measurable outcomes.
* Collaborate with Data Engineering to deploy models into production, enhance performance in live environments, and establish end\-to\-end monitoring and evaluation mechanisms.
* Continuously explore state\-of\-the\-art methodologies including sequential modeling, graph learning, causal inference, and multi\-task learning to solve challenging risk\-decision problems.
* Lead AI/LLM\-driven initiatives to enhance modeling efficiency, feature engineering, and advanced data mining capabilities.
Work Location: Singapore, Singapore
Availability: Full time
Requirements
Requirements
* Master’s degree or above in Computer Science, Mathematics, Statistics, Quantitative Finance, or related discipline.
* Minimum 3 years hands\-on experience in applied machine learning or data science; experience in credit risk or anti\-fraud modeling is strongly preferred.
* Proficient in Python with solid experience using scikit\-learn and deep learning frameworks such as PyTorch.
* Familiar with big\-data ecosystems and distributed computing (Hadoop/Spark/SQL).
* Broad knowledge of machine learning algorithms with deep expertise in at least one area: sequential modeling, graph learning, causal inference, multi\-task learning, or reinforcement learning, transfer learning.
* Strong ownership, communication, and cross\-functional collaboration skills; ability to independently drive complex modeling projects from ideation to production.
Key Skills: Machine Learning, Python, PyTorch, Feature Engineering
Salary: Not disclosed