Job Description

We give our employees access to a comprehensive and competitive reward programme, including a wide range of health, wellbeing and quality-of-life benefits.


Gym subsidy


Flexible work arrangements


Private medical insurance


Social


Refreshments


Season ticket travel loan



Detail
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Role Summary

We are seeking a highly skilled and motivated Senior Quantitative Analyst to join our team in the energy sector. The successful candidate will apply advanced quantitative techniques, financial modeling expertise, and programming skills to develop and validate models, analyse complex energy market datasets, and provide actionable insights that drive strategic decision-making. This role offers exposure to high-impact projects across energy risk management, pricing models, and data analytics in real-time and forward energy markets.


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Key Responsibilities

Quantitative Modeling and Analysis:

Develop and maintain advanced mathematical and statistical models for pricing, risk assessment, and operational decision-making in energy trading and market forecasting.


Apply techniques such as Monte Carlo simulations, stochastic processes, and machine learning to analyse energy production, consumption, and market price data.
Validate existing models and implement alternative methodologies to address model risks related to volatility, generation forecasting, and market behavior.

Risk Management:

Conduct in-depth risk evaluations related to power, gas, and renewable energy portfolios, ensuring alignment with regulatory guidelines and energy market rules.

Collaborate with energy risk management teams to provide quantitative support on P&L attribution, sensitivities, and value-at-risk (VaR) across diverse energy assets.

Data Analytics:

Analyse large energy datasets (e.g., ISO/RTO data, grid telemetry, weather forecasts) to extract actionable insights using econometric, statistical, or machine learning techniques.

Create automated tools to enhance accessibility and usability of energy market data for forecasting, bidding, and strategic planning.

Collaboration and Communication:

Work closely with cross-functional teams including traders, energy analysts, engineers, and external stakeholders in utilities and markets.

Present complex findings in a clear and concise manner to both technical and non-technical audiences, including operations and executive leadership.

Leadership and Mentoring:

Mentor junior analysts by providing training materials and guidance on energy market modeling and quantitative tools.

Contribute to recruitment efforts and help drive innovation and excellence within the analytics team. ??

Qualifications

Education:

Preferred Master's or Ph.D. in a quantitative field (e.g., Mathematics, Statistics, Finance, Computer Science, or Energy Systems).

Experience:

Preferred 6-10+ years of experience in quantitative analysis, model development/validation, or related fields.

Preferred experience in energy trading, utilities, energy consulting, or commodities markets is highly preferred.

Technical Skills:

Proficiency in programming languages such as Python, R, SQL, or C++.


Strong knowledge of statistical methods, time series analysis, optimisation techniques, and machine learning.
Familiarity with energy-specific pricing models, volatility modeling, or dispatch/forecasting algorithms is a plus.

Soft Skills:

Strong analytical thinking and problem-solving abilities.


Excellent written and verbal communication skills for diverse audiences.
* Ability to manage multiple projects effectively under tight deadlines in a fast-paced energy market environment.