Internship – AI & Data Science (Trading & Portfolio Management)

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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

This is your opportunity to shine

You are applying for this position:

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

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