Data Scientist, Credit Risk — Flexible Work & Benefits

Funding Societies | Modalku Group; Singapore; On-site; SGD 70,000 - 110,000; Full time

Benefits offered by this job

Time off for rest and holidays

Flexible working arrangements

Medical benefits for employees and for

Mental health and wellness programs

Tech support and company laptop

Job summary

Funding Societies | Modalku, Southeast Asia's leading SME digital finance platform, seeks a data scientist to build and validate credit scoring models, profile risk, detect fraud, and segment customers. The role involves data exploration, feature engineering, and delivering actionable insights to business teams.

Ideal candidates have 2+ years in data science, a quantitative degree, and strong Python (pandas, scikit-learn) and SQL skills.

Qualifications

• 2+ years of experience in data science or statistics with hands-on model development.
• Exposure to financial services or fintech is a plus.
• Degree in statistics, mathematics, computer science, economics, data science, or related field.
• Proficiency in Python (pandas, scikit-learn) and SQL.

Responsibilities

• Model development for credit scoring, risk profiling, fraud detection, and customer segmentation.
• Model validation & monitoring including AUC, KS, PSI, calibration.
• Perform analyses on borrower and portfolio data and present clear findings.
• Contribute to training, scoring, and monitoring pipelines with clean, reproducible code.

Skills

Python

SQL

Data analysis

Communications

Education

Bachelor's degree in Statistics/Math/CS/Data Science

Tools

scikit-learn

Pandas

Job description

Funding Societies | Modalku, Southeast Asia's leading SME digital finance platform, seeks a data scientist to build and validate credit scoring models, profile risk, detect fraud, and segment customers. The role involves data exploration, feature engineering, and delivering actionable insights to business teams.

Ideal candidates have 2+ years in data science, a quantitative degree, and strong Python (pandas, scikit-learn) and SQL skills.