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Senoko Energy

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

Senoko Energy
Energy, Utilities & InfrastructureSingapore (Hybrid)OnsitePosted 2 months ago
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About the role

AI summarised

This internship supports the development of AI/ML models for trading and portfolio management, including price forecasting, optimization, and market analysis. Interns will work with large financial datasets, build data pipelines, create dashboards, and assist in strategy backtesting under mentorship from traders and quantitative analysts. The role provides end-to-end AI project experience in a real trading environment.

UtilitiesOnsite

Key Responsibilities

  • Support the development of AI/ML models for price and load forecasting
  • Support the development of AI/ML models for unit commitment and dispatch optimisation
  • Support the development of AI/ML models for fuel procurement and hedging optimisation
  • Support the development of AI/ML models for portfolio optimisation and PnL modelling
  • Support the development of AI/ML models for 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

  • Undergraduate student in Data Science
  • Undergraduate student in Computer Science
  • Undergraduate student in Analytics
  • Undergraduate student in Mathematics or Statistics
  • Undergraduate student in Quantitative Finance
  • Undergraduate student in Engineering (Computing, Electrical, Systems, or related)
  • Experience with Pandas, NumPy, Scikit-learn
  • Experience with SQL and data engineering concepts
  • Experience with Databricks
  • Experience with time-series modelling
  • Familiarity with optimisation (linear programming, mixed-integer programming)
  • Familiarity with data visualisation (Power BI, Tableau, or similar)
  • Familiarity with cloud platforms (AWS, Azure, GCP) is a plus
  • Knowledge of power and gas markets, trading, or portfolio management concepts is advantageous
  • Knowledge of quantitative finance or algorithmic trading is advantageous
  • Knowledge of energy, commodities, or capital markets is advantageous
  • Strong analytical and problem-solving mindset
  • Curious about Power and Gas markets and AI applications