Credit Risk Data Scientist: Analytics, Modelling & Insights

Indodana; Jakarta Pusat; Sur place; IDR 180 000 000 - 300 000 000; Plein temps

Résumé du poste

Indodana is seeking a data analyst to monitor portfolio health and perform deep-dive analyses on financial datasets. You will work with business, product, and engineering teams to identify risk drivers and translate findings into credit decisions.

You will be embedded in a fast-paced data science team with access to robust data infrastructure, exploring anomalies, building SQL-based features, and supporting improvements to the credit framework while balancing risk and growth opportunities.

Qualifications

• Bachelor's degree in an analytical or quantitative field.
• Proficient in Python, SQL, and MS Excel.
• Strong communication and teamwork abilities.
• Excellent problem-solving and quick learner.
• Willingness to own projects and work hands-on with data.
• Experience with large datasets and identifying anomalies.

Responsabilités

• Monitor portfolio risk metrics regularly and flag anomalies.
• Conduct root-cause analysis for deteriorating risk indicators.
• Translate findings into actionable credit recommendations.
• Build and maintain SQL-based analyses and dashboards.
• Support credit scoring improvements with model evaluations.

Connaissances

Python

SQL

MS Excel

Communication

Teamwork

Problem Solving

Data Exploration

Credit Scoring

Formation

Bachelor's degree in analytical/quantitative field

Outils

SQL

Excel

Description du poste

Indodana is seeking a data analyst to monitor portfolio health and perform deep-dive analyses on financial datasets. You will work with business, product, and engineering teams to identify risk drivers and translate findings into credit decisions.

You will be embedded in a fast-paced data science team with access to robust data infrastructure, exploring anomalies, building SQL-based features, and supporting improvements to the credit framework while balancing risk and growth opportunities.