Trader

About the Role

We are looking for a trader who is analytical, curious, and eager to learn in a fast-paced, market-driven environment. This role is well-suited for candidates interested in energy markets, data analytics, and applied technology e.g. data science and AI, and offers a strong foundation for a career in power trading and portfolio management. 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

Electricity and Gas Trading Optimisation

• Execute approved and compliant market trades and nominations in Power and Gas Markets (Continuous market trading operation)
• Ensure physical delivery of power through close coordination with power plant on generation dispatch and constraints.
• Optimise and extract value as a portfolio basis through close coordination with internal and external business functions.

Market Analysis

• Deploy descriptive/diagnostic/predictive/prescriptive analytics on business performance and market conditions to guide trading decisions.
• Collaborate with other business functions to integrate market data into models and tools.
• Analyse Singapore’s regulatory and policy developments, and assess impacts to Senoko’s position, strategies, and trading tools.
• Keep abreast of latest market intelligence and trends to inform trading strategies.

Business Agility

• Lead regular upkeeping, documentation, calibration, and validation of optimisation tools and systems to ensure data accuracy and integrity.
• Translate/operationalise analysis, ideas, and roadmap into practical tools, dashboards, and processes.
• Build and maintain data pipelines for market, fundamental, and alternative data
• Provide regular updates on business performances and market conditions to management.

Requirements

• Degree in Data Science, Computer Science, Analytics, Mathematics, Statistics, Quantitative Finance, Engineering or a related discipline.
• Experience with Python and relevant analytical libraries such as Pandas, NumPy and Scikit-learn.
• Knowledge of SQL, data engineering concepts, Databricks and time-series analysis.
• Familiarity with optimisation techniques and quantitative modelling.
• Experience with data visualisation tools such as Power BI, Tableau or equivalent.
• Exposure to cloud platforms such as AWS, Azure or GCP is advantageous.

Preferred Experience

Candidates with exposure to any of the following will have an advantage:

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

Ideal Candidate

• 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

Why Join Us

• Exposure to real trading and portfolio decision-making workflows
• Mentorship from traders, portfolio managers, and quantitative analysts
• Build hands-on experience using data and analytical tools to support commercial and operational decisions
• Develop market, commercial, and technical understanding relevant to long-term growth in the energy sector.