Audit Data Science

PT Bank Jago Tbk (Jakarta, Jakarta, Indonesia)

DKI Jakarta, Indonesia

Since 1992, we only think about two things: to build the future and to grow with everyone. This has been our only aim from the very start. As a tech-based bank, we see finance from a life perspective, creating products that actually help customers with their daily pains. Enabled by cutting-edge technology, we aim for breakthroughs in the financial world; ones that are able to enhance the growth of millions.

About this position

We are looking for a data scientist who will work in Internal Audit area and familiar with a broad spectrum of modeling techniques utilizing a wide variety of data types to build models that support and provide assurance on various aspects of digital banking and risk management.

Responsibilities

• Work in Internal Audit area and familiar with a broad spectrum of modeling techniques (both classical ML and various deep learning modeling approaches) utilizing a wide variety of data types.
• Build models that support and provide assurance on digital banking product features such as smart financial recommendations around how much to save and when.
• Optimize growth and marketing functions such as dynamic content and marketing recommendations to customers.
• Optimize business operations.
• Implement real-time fraud detection and other risk management functions.
• Manage credit risk.
• Improve the efficiency of various technical operations with the business.
• Perform data integration and cleaning from diverse sources.
• Ensure the explainability and interpretability of models.
• Implement anomaly detection techniques for identifying irregularities.

Requirements

• A Bachelor's, computer science, statistics, physics, mathematics or other related degree. Advanced postgraduate degree and ancillary degrees or courses in finance, economics, actuarial and related disciplines would be valued.
• Understands the theoretical foundations underpinning machine learning and deep learning models while also has hands-on experience dealing with the problems they throw up in the real world.
• Min 7 years work experience with min 3 year experience deploying machine learning in production environments and min 3 years building machine learning and deep learning models.
• Having core competencies and experiences of data scientist, i.e.: Statistical analysis, machine learning, computer science, numerical analysis, and software engineering. Programming: Write computer programs and analyze large datasets to uncover answers to complex problems. Comfortable writing code working in a variety of languages such as Java, R, Python, SQL and other computing tools.
• Familiarity with advanced analytics and business intelligence tools for audit reporting.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying models and managing large datasets.
• Experience with CI/CD tools and practices to streamline the deployment and updating of models and applications.
• Experience with financial modeling of moderate complexity is desirable, but is not a requirement.
• Strong communication skills are essential to help communicate complex ideas to less technical audiences.