Credit Risk Data Scientist — Modeling & Insights

Electrum; Jakarta Selatan; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading financial technology company is seeking a Data Scientist – Credit Analytics to build and analyze credit risk models. The role involves working closely with various teams to translate data insights into actionable credit decisions. Candidates should have a degree in a related field and experience in credit analytics. Strong proficiency in Python or R is required, along with a solid understanding of statistical modeling. This position offers the opportunity to significantly impact the company's credit risk management processes.

Qualifications

• 2-5 years of experience in credit analytics, risk modeling, or financial data science.
• Solid understanding of statistical modeling, machine learning, and predictive analytics.
• Experience working with structured datasets in SQL.

Responsibilities

• Develop and maintain credit scoring models and decision frameworks.
• Analyze customer and behavioral data to assess creditworthiness.
• Design dashboards to monitor portfolio health and early warning indicators.

Skills

Credit analytics

Data analysis

Machine learning

Python

R

SQL

Education

Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Engineering

Tools

Looker

Tableau

Power BI

Job description

A leading financial technology company is seeking a Data Scientist – Credit Analytics to build and analyze credit risk models. The role involves working closely with various teams to translate data insights into actionable credit decisions. Candidates should have a degree in a related field and experience in credit analytics. Strong proficiency in Python or R is required, along with a solid understanding of statistical modeling. This position offers the opportunity to significantly impact the company's credit risk management processes.