Data Analytics Intern

NETS; Singapore; On-site; SGD 13,000 - 27,000; Part time

Job summary

NETS in Singapore is seeking a Data Analytics Intern to help build advanced analytics capabilities that drive business strategies and operational excellence.

You will work on fraud analytics, predictive modeling, and data visualization, collaborating with senior management and cross-functional teams to turn data into actionable insights.

This role offers hands-on exposure to regulatory reporting, dashboards, and strategic planning to support risk management and decision making.

Qualifications

• Hands-on experience in fraud analytics, predictive modeling, and data visualization.
• Familiarity with data-driven decision making and risk mitigation.

Responsibilities

• Drive firmwide data project requirements with BI teams and streamline reporting.
• Explore ML use cases for churn, forecasting, price modelling and fraud detection.
• Develop Streamlit apps to interact with structured data via natural language queries.
• Design dashboards to monitor business health, fraud trends and performance.
• Support monthly business reviews and translate data into narratives.
• Contribute to regulatory reporting automation.

Job description

We are seeking a Data Analytics Intern to join our team and contribute to building advanced analytics capabilities that drive business strategies and operational excellence. This internship offers hands-on experience in fraud analytics, predictive modeling, and data visualization, alongside exposure to strategic planning and regulatory reporting. You will work closely with senior management and cross-functional teams to transform data into actionable insights that enhance decision-making and risk mitigation.

Data Project:

• Drive the firmwide data project requirements including collaborating with tech to ingest new sources of data not captured currently in the Business Intelligence layer, and streamline reporting by creating new visualizations inline with the bottom-up driver-value maps crafted by various BUs

Explore AI/ML capabilities on Snowflake:

• Drive POC projects using Snowflex Cortex Code to explore machine learning use cases for churn prediction, forecasting, price modelling and fraud detection modelling
• Use Snowflake Cortex Analyst/Agent on top of our data lake to develop sandbox streamlit apps that can help users interact with structured data using natural language queries.
• Design and maintain dashboards and reports that provide clear visibility into business health, fraud trends, and performance metrics using AWS Quicksight.

Drive Actionable Insights:

• Analyze large datasets to uncover trends, challenges, and opportunities across business verticals.
• Contribute to predictive modeling initiatives such as churn prediction, pricing optimization, and fraud detection.

Support Strategic Planning:

• Assist in preparing monthly business review presentations for senior leadership, translating complex data into meaningful narratives.

Regulatory Reporting:

• Contribute to the preparation and automation of statutory return submissions