Trader/Analyst - Trading & Portfolio Management

Senoko Energy; Singapore; On-site; SGD 67,000 - 100,000; Full time

Benefits offered by this job

Structured career development

Continuous training

Mentorship from industry professionals

Job summary

A leading energy company in Singapore is seeking a Trader/Analyst in Trading & Portfolio Management. You will engage in power and gas trading, support portfolio management, and conduct market analysis while collaborating with quantitative analysts. We are looking for graduate students from data science and related fields with strong analytical skills and familiarity with various data analysis tools such as Pandas and SQL. This hybrid role emphasizes real-world trading experiences and career development.

Qualifications

• Must be a graduate student in data-related fields.
• Experience with data analysis tools and frameworks is essential.
• Familiarity with optimization and data visualization tools is a plus.

Responsibilities

• Execute trades in power and gas markets while ensuring compliance.
• Support portfolio management and assist in fuel procurement.
• Analyze regulatory developments in Singapore's energy sector.
• Analyze market conditions and regulatory impacts.

Skills

Experience with Pandas, NumPy, Scikit‑learn

SQL and data engineering concepts

Time‑series modelling

SQL & Data Engineering

Time-series Modelling

Education

Graduate student in Data Science

Graduate student in Computer Science

Graduate student in Analytics

Graduate student in Mathematics / Statistics

Graduate student in Quantitative Finance

Graduate student in Engineering

Tools

Databricks

Power BI

Tableau

Cloud platforms (AWS, Azure, GCP)

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.

Trader/Analyst - Trading & Portfolio Management

Function: Trading & Portfolio Management
Focus: Power & Gas Trading, Portfolio Management, AI, Data Science, Analytics, Quantitative Research
Internship Type: Full‑time
Location: Singapore (Hybrid)

About the Role

We are looking for a trader/analyst 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.
• Portfolio Management
  • Support portfolio management activities in the Power and Gas markets.
  • Assist with fuel procurement and hedging, retail pricing, and exposure analysis.
  • Manage long‑term decarbonisation goals and development plans.
• 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

Academic Background

• Graduate 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.
• 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.

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

• Full Time