Risk Analytics & Mis

Job Description

Tasks and Responsibilities :

• Analyze and monitor month-to-month data trends from multiple data sources (SLIK, FDC, CBL multiplatform, telco, KYC, etc.) to generate actionable insights and drive data-driven decisions in credit risk management
• Develop and test new feature engineering strategies for credit scoring models, focusing on improving predictive accuracy and model performance.
• Conduct comprehensive evaluation and backtesting of features to ensure robustress, scalability, and alignment with business objectives in underwriting processes
• Build automated dashboards and real-time alert systems using tools like Looker and BigQuery to monitor key metrics and detect anomalies or significant changes.
• Collaborate with data providers to assess data quality and suitability, ensuring optimal integration into credit scoring models
• Create and maintain a catalog of data providens identifying innovative data solutions to enhance risk assessments and improve overall credit decisioning
• Partner with cross-functional teams (business, IT, dota science) to improve data pipelines, reporting processes, and feature development for advanced credit scoring use cases.
• Forecasting Non Performing Loan based on history to ensure it still meets company targets and Regulator targets.
• Providing Data and Analysis to fulfil Funding Partner Requests (eg Vintage DPO, Portfolio By Demographic etc.)
Support adhoc tasks/projects and provide regular updates to senior leadership.

Requirements :

• Bachelor’s degree in Computer Science, Information Technology, Statistic, Mathematic or related fields
• Experience minimum 1-2 years of experience as a Risk Analytics or Risk MIS
• Proficiency in Python programming language with clean, readable coding style
• Strong knowledge of data science tools Numpy, Pandas, or Scipy.
• Strong knowledge of data science or data analytics workflow
• Expertise in at least one backend framework Flask Django, or Jupyter Notebook, with ability to independently manage project development
• Proficiency in mainstream databases MySQL, MongoDB, Hive SQL, or similar technologies.
• Familiarity with Agile development methodologies.
• Has familiarity with OJK or Bank Indonesia Regulations, Risk Management policies, and financial industry best practices.
• Willing to work full on site.