Lead Data Scientist (Fintech)

TL;DR

Lead Data Scientist (Fintech): Designing and deploying machine learning models for risk scoring, fraud detection, and behavioral analytics with an accent on feature engineering and scalable data infrastructure. Focus on translating complex business problems into data-driven solutions and mentoring a team of data scientists to ensure model accuracy and governance.

Location: Jakarta, Indonesia

Company

Indodana Fintech is an OJK-licensed financial technology company operating a credit marketplace to enable financial inclusion for underbanked Indonesians.

What you will do

• Lead the design, development, and deployment of ML models for risk scoring, fraud detection, and behavioral analytics.
• Drive feature engineering, model training, and monitoring pipelines using large-scale datasets.
• Build and maintain scalable data infrastructure in collaboration with Data Engineering.
• Manage and mentor a team of data scientists and engineers to maintain high standards in accuracy and governance.
• Translate complex business problems into technical data-driven solutions for stakeholders.
• Lead model validation, backtesting, and implement data quality checks and governance protocols.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics, or a related field.
• 3+ years of experience in data science, machine learning, or risk modeling, ideally within fintech or banking.
• Strong command of Python, SQL, and big data tools such as Spark, Airflow, Hadoop, AWS, GCP, or Databricks.
• Experience leading end-to-end model development in production environments.
• Solid understanding of credit risk, fraud analytics, or financial modelling.