Assistant Manager - Anti-Fraud Data Analytics

Join KB Finansia Multi Finance, a leading financial services provider in Indonesia, as our Assistant Manager - Anti-Fraud Data Analytics in the vibrant and growing tech hub of Bali (Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, or Badung). In this role, you'll be part of our dedicated Anti-Fraud team, leveraging cutting-edge data analytics to detect and prevent financial fraud. This is an exciting opportunity to work in a dynamic environment, contributing to the security and integrity of our financial services.

As our Assistant Manager, you'll play a crucial role in developing and implementing data-driven strategies to identify and mitigate fraudulent activities. You'll work closely with our team of data analysts and fraud investigators, using advanced tools and software such as Python, R, and SQL to analyze large datasets and generate actionable insights. This role offers significant growth potential, with opportunities to advance to a more senior position within our Anti-Fraud department.

If you're a passionate data professional with a strong background in fraud analytics, we invite you to join us in Bali and be part of our mission to provide secure and reliable financial services.

📋 Tanggung Jawab Pekerjaan

• Develop and implement data-driven strategies to detect and prevent financial fraud
• Analyze large datasets using advanced tools and software such as Python, R, and SQL
• Collaborate with the Anti-Fraud team to investigate and mitigate fraudulent activities
• Create and maintain comprehensive reports and dashboards to track fraud trends and performance
• Stay up-to-date with the latest developments in fraud analytics and industry best practices
• Provide training and mentorship to junior team members
• Participate in cross-functional projects to improve our fraud detection and prevention capabilities
• Work closely with our IT and compliance teams to ensure the security and integrity of our data

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field
• 3-5 years of experience in data analytics, with a focus on fraud detection and prevention
• Strong proficiency in Python, R, and SQL for data analysis and visualization
• Experience with data visualization tools such as Tableau or Power BI
• Knowledge of machine learning algorithms and techniques for fraud detection
• Excellent communication and interpersonal skills, with the ability to work effectively in a team
• Strong problem-solving and critical thinking skills
• Certification in fraud analytics or a related field is a plus

🛠️ Keahlian

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