Energy Markets Portfolio Analyst & Forecasting

HYPERSCAL SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

YTL PowerSeraya Pte. Limited in Singapore is seeking a Portfolio Analyst to support retail portfolio management, pricing strategy, and market analysis in Singapore's evolving energy market.

You will analyze market dynamics, manage portfolio data, develop forecasting models, and provide insights shaping trading and pricing decisions. The role collaborates with commercial, trading, operations and regulatory teams; requires a quantitative degree and strong SQL, Python/R skills, and Power BI

Qualifications

• Bachelor's degree in Engineering, Finance, Economics, Mathematics, Statistics, Data Science or related field.
• Strong SQL and data analytics skills required; experience with Python or R is an advantage.
• Interest in energy sector, portfolio management, power trading and retail pricing.

Responsibilities

• Support day-to-day portfolio management activities, including retail sales transactions and hedging.
• Analyze electricity market fundamentals, supply-demand dynamics and competitor developments.
• Develop and maintain analytical models for portfolio forecasting and market analysis.
• Review regulatory consultations and industry developments affecting strategy and forecasting.
• Develop dashboards and reports using Power BI to provide portfolio insights.

Skills

SQL

Python

R

Data analysis

Portfolio management

Communication

Education

Bachelor's degree in a quantitative discipline

Tools

Power BI

Job description

YTL PowerSeraya Pte. Limited in Singapore is seeking a Portfolio Analyst to support retail portfolio management, pricing strategy, and market analysis in Singapore's evolving energy market.

You will analyze market dynamics, manage portfolio data, develop forecasting models, and provide insights shaping trading and pricing decisions. The role collaborates with commercial, trading, operations and regulatory teams; requires a quantitative degree and strong SQL, Python/R skills, and Power BI