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Senoko Energy

Trader/Analyst - Trading & Portfolio Management

Senoko Energy
Energy, Utilities & InfrastructureSingapore (Hybrid)Full-time3 months ago
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About the role

AI summarised

This is a full-time Trader/Analyst role at an energy company, focusing on electricity and gas trading, portfolio management, and market analysis. The role involves executing trades, optimizing portfolio value, and deploying analytics to guide trading decisions, with exposure to real trading workflows and mentorship from experienced professionals.

UtilitiesFull-time

Key Responsibilities

  • 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.
  • Support portfolio management activities in the Power and Gas markets.
  • Assist with fuel procurement and hedging, retail pricing, and exposure analysis.
  • Manages long-term decarbonisation goals and development plans.
  • 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.
  • 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.

Requirements

  • Graduate student in: Data Science, Computer Science, Analytics, Mathematics / Statistics, Quantitative Finance, 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
  • Domain Knowledge (Advantage but not necessary): Power and gas markets, trading, or portfolio management concepts
  • Domain Knowledge (Advantage but not necessary): Quantitative finance or algorithmic trading
  • Domain Knowledge (Advantage but not necessary): Energy, commodities, or capital markets
  • 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