Quantitative Researcher

Kaleido Talent; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading energy analytics firm in Dubai is looking for a Quantitative Analyst to develop models supporting hedging strategies in retail energy supply. The ideal candidate has over a year of experience in quantitative modeling and strong proficiency in Python. Successful applicants will analyze market data to enhance the performance of solar and wind assets, and translate data into actionable insights. Competitive salary and benefits including equity bonuses are provided.

Benefits

Competitive salary and equity sign-on bonus

Biannual bonus scheme

Fully expensed tech

Paid annual leave

Breakfast and dinner for office based employees

Qualifications

• 1+ years of experience in quantitative modeling, data analysis, or a related role in energy, trading, or analytics.
• Strong proficiency in Python, with experience using libraries for data analysis, modeling, and visualization.
• Solid understanding of statistical modeling, optimisation, and analysis techniques.

Responsibilities

• Develop and implement quantitative models to support hedging strategies for retail energy supply.
• Analyze market data to optimize the performance of physical assets such as solar and wind farms.
• Conduct statistical and scenario-based modeling to inform trading and risk management decisions.

Skills

Quantitative modeling

Data analysis

Python

Statistical modeling

Problem-solving

Job description

Responsibilities

• Develop and implement quantitative models to support hedging strategies for retail energy supply
• Analyze market data to optimize the performance of physical assets such as solar and wind farms
• Conduct statistical and scenario-based modeling to inform trading and risk management decisions
• Monitor power markets, pricing trends, and regulatory developments to identify risks and opportunities
• Collaborate with engineering and operations teams to integrate models into day-to-day decision-making

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner for office based employees

Requirements

• 1+ years of experience in quantitative modeling, data analysis, or a related role in energy, trading, or analytics
• Strong proficiency in Python, with experience using libraries for data analysis, modeling, and visualization
• Solid understanding of statistical modeling, optimisation, and analysis techniques
• Experience working with time series or market data, preferably in energy or commodities markets
• Strong problem-solving skills and the ability to translate complex data into actionable insights