Trading & Portfolio Management Intern (AI & Data Science)

Senoko Energy; Singapore; On-site; 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

Join our family in powering the nation.
Be part of an inclusive, positive workplace where people come first. We support your growth with structured career development, continuous training, and clear pathways to advance. With scholarships and long term opportunities, you can build a meaningful career while helping power the nation’s future.

You are applying for this position:

Internship - Trading & Portfolio Management Intern (AI & Data Science)

Function: Trading & Portfolio Management
Focus: AI, Data Science, Analytics, Quantitative Research
Internship Type: Full-time (6 months)
Location: Singapore (Hybrid)
About the Role

We are seeking highly motivated intern to support our Trading & Portfolio Management team’s AI initiative. You will work alongside traders, portfolio managers, and quantitative analysts to design, build, and deploy data-driven models that enhance trading strategies, generation dispatch, fuel procurement, hedging strategies, and risk management across electricity and gas markets.

This role offers hands‑on exposure to real‑world physical and financial energy markets, large-scale data systems, and applied AI in a production trading environment.

Key Responsibilities

• Support the development of AI/ML models for:
  • Price and load forecasting, unit commitment, and dispatch optimisation
  • Fuel procurement and hedging optimisation
  • Portfolio optimisation and PnL modelling
  • Market anomaly, volatility, and pattern detection
• Clean, process, and analyse large financial and operational datasets
• Build data pipelines for market, fundamental, and alternative data
• Develop dashboards and analytics tools for traders and portfolio managers
• Conduct exploratory data analysis (EDA) and statistical research
• Assist in backtesting trading strategies and performance attribution
• Document models, methodologies, and analytical findings

Requirements

Academic Background

• Undergraduate student in:
  • Data Science
  • Computer Science
  • Analytics
  • Mathematics / Statistics
  • Quantitative Finance
  • Engineering (Computing, Electrical, Systems, or related)

Technical Skills

• Experience with:
  • Pandas, NumPy, Scikit-learn
  • SQL and data engineering concepts
  • Databricks
  • Time-series modelling

• Familiarity with:
  • Optimisation (linear programming, mixed-integer programming)
  • Data visualisation (Power BI, Tableau, or similar)
  • Cloud platforms (AWS, Azure, GCP) is a plus

Domain Knowledge (Advantage but not necessary)

• Power and gas markets, trading, or portfolio management concepts
• Quantitative finance or algorithmic trading
• Energy, commodities, or capital markets

What You Will Gain

• Exposure to real trading and portfolio decision‑making workflows
• End‑to‑end AI project experience (data → model → deployment)
• Mentorship from traders, portfolio managers, and quantitative analysts
• Opportunity to build production‑grade AI systems
• Strong foundation for careers in quantitative trading, data science, or fintech

Ideal Candidate Profile

• Strong analytical and problem‑solving mindset
• Curious about Power and Gas markets and AI applications
• Comfortable working with large, messy datasets
• Able to translate data insights into business impact
• Self‑driven, detail‑oriented, and eager to learn

Duration

• Minimum 6 months