Power Trader/Analyst

GUNVOR SINGAPORE PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading commodities trading firm in Singapore seeks a candidate for the APAC Power Desk to optimize portfolios and develop data-driven trading strategies. The role requires strong statistical, analytical, and programming skills, along with substantial experience in the trading sector. Candidates will be responsible for executing trading strategies, developing predictive models, and enhancing business operations in the APAC market.

Qualifications

• 5+ years of experience in trading/commodities or financial institutions.
• Strong background in statistics and modeling.
• Excellent communication skills in English.

Responsibilities

• Execute trading strategies and manage risk.
• Develop optimization models for trading decisions.
• Identify new profitable business opportunities.

Skills

Statistical analysis

Data-driven decision making

Programming (Python, SQL)

Analytical skills

Education

Degree in a technical discipline

Tools

Python

SQL

MongoDB

C++ or C#

Job description

Summary of Company

Gunvor Group is one of the world’s largest independent commodities trading houses by turnover, creating logistics solutions that safely and efficiently move physical energy, bulk materials, and base metals from where they are sourced and stored to where they are demanded most. Gunvor has strategic investments in industrial infrastructure—refineries, pipelines, storage, and terminals—that complement our core trading activity and generate sustainable value across the global supply chain for our customers. For 2023, Gunvor reported US $127 billion in revenue on 177 million MT of volumes, and remains on track to cut Scope 1 and 2 emissions 40%, and to reduce the carbon intensity of its shipping fleet by 10% by 2025.

For more information, visit GunvorGroup.com

Overview of Role

The individual will join the APAC Power Desk as a key contributor to portfolio optimization efforts and the development of data-driven trading strategies across the APAC power and energy markets.

Main Responsibilities

- Portfolio optimization & management responsibilities including:

• Trading – Execute directional trading strategies, manage portfolio monetization and risk management of portfolio
• Team lead for developing and maintaining systematic / data driven decision frameworks for Australia and potentially other APAC markets, delivering best-in-class reporting, analytics & modelling in collaboration with the team and leveraging prior experience.
• Develop, analyze and conduct different approaches to forecast different variables (demand, wind, solar, prices)
• Statistical evaluation and validation of different types of forecasts
• Develop in-house optimization models (stack models, dispatch models) and deploy models in production that will be used every day for trading decisions
• Deal structuring

- Key contributor to the overall results and performance of the trading & origination activities in APAC region and bring new ideas of models to improve the desk P&L.

- Develop and enhance Power, gas, environmental, weather and transmission trading business activities in the APAC region.

- Contribute to establishing the framework for developing and implementing solutions that support trading activities.

- Proactively identify, propose, and develop new profitable business opportunities while adding value to the current business.

- Increase market reach and brand in APAC, develop solid business relationships with customers, counterparties and stakeholders

- Monitor regulatory and policy changes affecting the power markets

- Perform other ad-hoc duties assigned by manager

Profile

The individual should have the following experience:

• A Degree in a technical discipline with a focus on statistics, machine learning, signal processing, optimization and control Excellent verbal and written communication skills in English
• 5+ years of previous similar work experience in trading/commodities house or financial institutions
• Strong programming skills (Python, SQL and MongoDB. C++ or C# would be a plus)
• Strong statistics and modeling background
• Strong knowledge of financial markets and financial derivatives with good understanding of energy trading principles and electricity markets
• Inquisitive and meticulous with strong analytical and computational skills
• Self-motivated and able to work independently and as a team player
• Ability to work under pressure