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Quantitative Researcher – Energy Supply Analytics
Energy supply businesses are constantly adapting to new challenges. To lead the way, our team is seeking a quantitative researcher with a strong background in statistics to develop and refine predictive models for our energy supply operations.
As a key member of our research and analytics team, you’ll play a pivotal role in enhancing risk assessment and decision-making via cutting-edge quantitative techniques.
Key Responsibilities
- Develop and implement data-driven models using Python across energy supply operations, leveraging machine learning, time-series forecasting, and optimization techniques
- Collaborate with engineering teams to ensure model accuracy, scalability, and real-world applicability
- Specialize in credit risk analysis, identifying threats while proposing mitigation strategies to strengthen decision-making
- Conduct rigorous data analysis and predictive modeling to support risk management across the organization
- Stay abreast of emerging trends, regulatory changes, and industry standards to inform business strategies
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Requirements & Qualifications
You’ll need a proven ability to bridge technical research and practical business solutions. Key competencies include:
- 2+ years of experience as a quantitative researcher, data scientist, or in a similar analytical role
- Proficiency in Python, with hands-on experience using Pandas, NumPy, and SciPy
- Strong fundamentals in statistical modeling, including time-series analysis, regression, and hypothesis testing
- Experience demonstrating real-world impact through applied research (portfolio predictions, risk assessments, or optimization tools)
- Excellent communication and collaboration skills, with the ability to bridge technical details for non-specialist audiences
- Bonus: Prior experience or interest in the energy sector will add considerable value
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Why Join Us? Compelling Benefits
We value the talent we hire and offer a competitive remuneration package:
- Competitive salary, complemented by a stock options sign-on bonus
- Biannual bonus scheme to reward outstanding performance
- Fully expensed tech stipend—upgrade your work-desk ecosystem, choose with confidence
- Generous time off: 28 days paid annual leave, including public holidays
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