Deskripsi Pekerjaan
KB Finansia Multi Finance is looking for a strategic and highly analytical Anti Fraud Data Analytic Assistant Manager to join our Risk Management division in Jakarta Selatan. In this critical role, you will be responsible for safeguarding the company’s assets by leveraging cutting-edge data science techniques to detect, prevent, and investigate fraudulent activities across our financial products.
As an Assistant Manager, you will bridge the gap between complex data analysis and strategic decision-making. You will lead efforts to identify emerging fraud trends, optimize detection engines, and provide actionable insights that strengthen our anti-fraud framework. This is an excellent opportunity for a data professional with a passion for security and finance to make a tangible impact in a leading multi-finance organization.
The ideal candidate will possess a blend of technical expertise in data manipulation and a deep understanding of the Indonesian financial landscape. You will work closely with IT, Operations, and Compliance teams to foster a culture of vigilance and innovation.
Tanggung Jawab
- Lead the development and implementation of advanced fraud detection models using statistical and machine learning techniques.
- Monitor and analyze large datasets to identify anomalies, suspicious patterns, and potential fraud clusters.
- Conduct thorough investigations into high-risk cases and provide comprehensive reports to senior management.
- Collaborate with the IT department to integrate anti-fraud tools and enhance data integrity protocols.
- Perform regular root cause analysis on confirmed fraud cases to improve prevention strategies and rules.
- Design and maintain automated dashboards to track fraud KPIs and risk exposure in real-time.
- Stay updated on global and local fraud trends to proactively adjust internal controls.
Kualifikasi
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Minimum of 4-6 years of experience in data analytics, with at least 2 years focused on fraud or risk management.
- Expert proficiency in SQL and Python or R for data extraction and modeling.
- Proven experience with data visualization tools such as Tableau, Power BI, or Google Looker Studio.
- Strong understanding of multi-finance business processes and Indonesian financial regulations.
- Exceptional analytical thinking, problem-solving skills, and attention to detail.
- Demonstrated leadership ability and experience managing small teams or complex projects.