Offer summary

Qualifications:

Bachelor's degree in Economics, Finance, Mathematics, or Statistics., Knowledge of Python, SQL, or similar data analysis tools., Strong communication and negotiation skills to gather business requirements., Detail-oriented with good interpersonal skills and a focus on teamwork..

Key responsabilities:

Design and develop a Python-based application for data analysis.

Conduct requirement analysis to understand user needs and insights.

Test and validate the AI system and policy framework for effectiveness.

Provide documentation and conduct knowledge transfer sessions for internal teams.

Job description

Our Company

SAVii was founded in 2017 as SAVii PH, since then, we have been revolutionizing the employee wellness landscape. Our primary goal is to transform lives everyday by offering 360° salary linked wellness services in emerging markets. We currently operate in the Philippines and India.

Through our employee benefits platform, we empower HR leaders with 360 degree salary linked financial wellness services that elevate team members personally and professionally. Fast forward to today, we are now the category leader in our pioneer market of the Philippines. We are always here to transform lives with you. Together, let’s make financial power at work a reality.

Our Culture

SAVii is all about people. We aim to transform lives everyday for our customers and our own team members. We promote a culture of people-centricity, engage deeply with our SAViiers and encourage everyone to bring their whole selves to work. Each member of our team has something unique to contribute, so we naturally embrace your individuality and recognize your unique perspective as an important catalyst of positive change. We are a remote-first organization, we work where we feel happy and productive. Beyond the monetary aspect, we offer a plethora of enabling benefits enhancing your personal and professional life. In SAVii, we Think Fast, and execute faster.

Our Values

Excellence is an Attitude. We are Licensed to Dare so that everyone can Learn and Succeed. Our shared culture of respect and Fast Executions are built on Integrity and knowing we are Stronger Together.

Our Commitment

SAVii is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all our SAViiers. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability and age. We believe that diversity in talent invites more opportunities for innovation that leads us to our goal to Transform Lives Everyday. As part of our commitment to a diverse and inclusive workplace, we strongly encourage individuals from all walks of life to apply.

As an intern of our Portfolio and Credit Risk teams, the Portfolio Analytics Intern is responsible for designing, developing, and implementing time-bound data-driven projects to support business growth and risk management. This role requires a deep understanding of data, Python, Machine learning, and business intelligence, and the intern must ensure alignment between data-driven insights and strategies.

Objective:

The intern will work on two key projects:

Building a Python-based interactive system leveraging LLMs to analyze and provide insights on data, enhancing data-driven decision-making.

Developing a decision-based policy framework to optimize policy decision-making by introducing a challenger framework for comparison against existing policies.

Key Responsibilities:

Requirement Analysis Understand data sources, user needs, and key insights required from the system. Analyze existing policy frameworks and identify opportunities for new features and segmentations.

Design & Development 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.

Testing & Validation 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.

Documentation & Handover 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.

This internship offers an opportunity to work with cutting-edge AI technologies and policy optimization models, contributing directly to enhancing data-driven decision-making within the organization.

Qualifications Required:

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.

Required profile