Credit Risk Data Scientist: Build End-to-End AI Models

Monee; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A financial technology company in Singapore is looking for a Risk Data Scientist - Credit to develop end-to-end AI models supporting risk processes in lending. The ideal candidate should hold at least a Bachelor's degree in a quantitative field, have proficiency in Python and SQL, and experience with machine learning frameworks. Collaboration and strong communication skills are essential. This role offers opportunities for both entry-level and experienced candidates.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field required.
• Experience in credit risk or anti-fraud modeling preferred.
• Strong communication and collaboration skills.

Responsibilities

• Build end-to-end AI models for key risk processes.
• Perform data mining and feature engineering.
• Manage the full model lifecycle.
• Analyze model performance and extract insights.
• Explore advanced modeling techniques.

Skills

Proficient in Python

Strong SQL skills

Hands-on experience in applied machine learning

Experience with ML/DL frameworks (scikit-learn, PyTorch)

Collaboration skills

Education

Bachelor’s degree in Computer Science or related field

Master’s degree preferred

Tools

Hadoop

Spark

Job description

A financial technology company in Singapore is looking for a Risk Data Scientist - Credit to develop end-to-end AI models supporting risk processes in lending. The ideal candidate should hold at least a Bachelor's degree in a quantitative field, have proficiency in Python and SQL, and experience with machine learning frameworks. Collaboration and strong communication skills are essential. This role offers opportunities for both entry-level and experienced candidates.