Data Scientist (Risk Analytics & Modelling)

Location: Jakarta, Indonesia

Company

Builds lending and financial products supported by data-driven risk management and credit decisioning.

What you will do

• Monitor portfolio risk metrics and proactively identify anomalies or emerging trends.
• Perform root cause analyses to determine the drivers of deteriorating risk indicators, including suspicious behavioral patterns.
• Translate analytical findings into concrete credit recommendations and implement framework adjustments.
• Build and maintain SQL-based features, analyses, and monitoring dashboards for ongoing risk surveillance.
• Evaluate models occasionally to support improvements to credit scoring.
• Partner with business, product, engineering, and data science teams to improve portfolio quality while balancing risk control and growth.

Requirements

• Bachelor's degree or fresh graduate in mathematics, statistics, engineering, computer science, or another analytical or quantitative discipline.
• Hands-on experience with Python, SQL, and Microsoft Excel for statistical analysis.
• Comfort working with large tabular financial datasets to detect trends and anomalies.
• Strong problem-solving, analytical, communication, and teamwork skills.
• Ability to investigate data, learn independently, adopt new techniques, and take ownership of projects.

Nice to have

• Exposure to credit-scoring modelling concepts.

Culture & Benefits

• Fast-paced environment focused on solving challenging lending problems.
• Collaboration with business, product, and engineering teams.
• Work within a strong data science team.
• Access to robust data infrastructure.