Risk Analytics Intern

Summary

Join SAVii's Portfolio and Credit Risk teams as a Portfolio Analytics Intern and contribute to data-driven projects that support business growth and risk management. You will design, develop, and implement two key projects: building a Python-based interactive system using LLMs for data analysis and developing a decision-based policy framework with a challenger model. This internship offers hands-on experience with cutting-edge AI technologies and policy optimization, directly impacting data-driven decision-making. The role requires a strong understanding of data, Python, machine learning, and business intelligence. Success in this role hinges on accuracy in analysis and timely goal achievement. SAVii is a remote-first organization with a people-centric culture.

Requirements

• Bachelor's degree (preferably in a field such as Economics, Finance, Mathematics, or Statistics)
• Knowledge of Python, SQL, or similar data analysis tools
• An inquisitive nature and strong communication and negotiation skills are required to obtain business requirements and approvals from various stakeholders effectively
• Detail orientation, good interpersonal skills, accuracy, focus, and teamwork are required
• Accuracy in analysis and the timely achievement of goals is crucial to success in this role

Responsibilities

• Understand data sources, user needs, and key insights required from the system
• Analyze existing policy frameworks and identify opportunities for new features and segmentations
• Develop a Python-based application integrating an LLM-powered chat interface for querying and analyzing data
• Implement data security and access controls to ensure secure access
• Design and implement a decision-based policy framework with segmentation strategies
• Build a challenger framework to test and compare new policies against existing ones
• Ensure both systems are scalable, adaptable, and user-friendly
• Conduct rigorous testing to validate the interactive AI system's accuracy, reliability, and security
• Test the challenger policy framework to assess its effectiveness against performance metrics and business goals
• Provide clear and structured documentation for system usage, policy framework implementation, and maintenance
• Conduct knowledge transfer sessions for internal teams to ensure smooth adoption and continuity