Trading & Portfolio AI Intern: Data Science

Senoko Energy; Singapore; Hybrid; SGD 13,392 - 22,320; Full time

Benefits offered by this job

Structured career development

Scholarships and long-term opportunities

Hands-on exposure to real trading environments

Job summary

A leading energy provider in Singapore is looking for an Internship - Trading & Portfolio Management Intern to join their team. This full-time six-month internship requires an undergraduate student who is eager to support AI initiatives in trading strategies. The successful candidate will collaborate with traders and analysts, gaining exposure to real-world markets and excellent mentorship. Ideal for those studying Data Science, Computer Science, or related fields with strong analytical skills.

Qualifications

• Experience with data processing and analysis tools.
• Strong analytical skills for pricing and load forecasting.
• Familiarity with optimization and visualisation techniques.

Responsibilities

• Support development of AI/ML models for trading strategies.
• Analyze large financial and operational datasets.
• Develop dashboards for traders and portfolio managers.

Skills

Experience with Pandas

Experience with NumPy

Experience with Scikit-learn

SQL and data engineering concepts

Time-series modelling

Education

Undergraduate student in Data Science

Undergraduate student in Computer Science

Undergraduate student in Analytics

Undergraduate student in Mathematics / Statistics

Undergraduate student in Quantitative Finance

Undergraduate student in Engineering (Computing, Electrical, Systems, or related)

Tools

Databricks

Power BI

Tableau

Job description

A leading energy provider in Singapore is looking for an Internship - Trading & Portfolio Management Intern to join their team. This full-time six-month internship requires an undergraduate student who is eager to support AI initiatives in trading strategies. The successful candidate will collaborate with traders and analysts, gaining exposure to real-world markets and excellent mentorship. Ideal for those studying Data Science, Computer Science, or related fields with strong analytical skills.