Data Scientist, Risk Analytics & Credit Modeling

Cermati Fintech Group; Jakarta Pusat; On-site; IDR 20,000,000 - 40,000,000; Full time

Job summary

Cermati Fintech Group in Jakarta seeks a data-driven analyst to monitor portfolio health and perform deep-dive analyses of financial datasets. You will translate findings into actionable credit decisions and collaborate with product and engineering teams to balance risk and growth.

Join a fast-paced data science group with access to a robust data infrastructure, build SQL-based features, dashboards, and contribute to credit scoring improvements while learning new techniques and technologies.

Qualifications

• Bachelor's or analytical/quantitative degree; other disciplines considered.
• Proficient in Python, SQL, and MS Excel.
• Strong communication and teamwork skills.
• Excellent problem-solving and eager to learn new tech.
• Willingness to explore data, identify anomalies, and own projects.
• Comfort with large tabular datasets and translating findings to recommendations.
• Experience with credit scoring concepts is a plus.

Responsibilities

• Monitor portfolio risk metrics and flag anomalies or trends.
• Conduct root cause analysis to identify drivers of risk changes.
• Translate findings into concrete recommendations and adjust as needed.
• Build and maintain SQL-based features, analyses, and dashboards for risk surveillance.
• Occasionally evaluate models to support credit scoring improvements.

Skills

Analytical thinking

Team collaboration

Problem-solving

Willingness to learn

Education

Bachelor's degree in a quantitative/analytical discipline

Tools

Python

SQL

MS Excel

Job description

Cermati Fintech Group in Jakarta seeks a data-driven analyst to monitor portfolio health and perform deep-dive analyses of financial datasets. You will translate findings into actionable credit decisions and collaborate with product and engineering teams to balance risk and growth.

Join a fast-paced data science group with access to a robust data infrastructure, build SQL-based features, dashboards, and contribute to credit scoring improvements while learning new techniques and technologies.