Graduate Quantitative Analyst – Shipping and Energy Fund

About the Position

We are an established investment fund specializing in Shipping and Energy sectors looking for a highly skilled Graduate Quantitative Analyst to join our team in Central London starting Autumn 2026. This role requires a strong foundation in quantitative techniques combined with an enthusiasm for artificial intelligence applications in financial analysis and modelling.

Key Responsibilities

• Perform detailed financial analysis and valuation focused on Shipping and Energy industries.
• Conduct comprehensive company and sector research to support investment decisions.
• Develop forecasting models and conduct scenario analyses to project financial outcomes.
• Build and refine robust financial models to facilitate portfolio construction and evaluation.
• Integrate AI tools to improve research productivity and streamline analytical workflow.
• Interpret complex datasets and apply quantitative methods to extract insights.
• Prepare professional reports, presentations, and investment documentation for stakeholders.
• Assist senior professionals in strategic and commercial decision-making processes.

Candidate Profile

• Exceptional numerical and analytical capabilities with demonstrated academic excellence.
• Genuine interest in financial markets, business models, and financial modelling techniques.
• Proactive engagement with AI platforms and modern data analysis tools, or a strong motivation to learn them quickly.
• Outstanding problem-solving skills and meticulous attention to detail.
• Effective communication skills, both written and verbal.
• Self-motivated with the ability to work autonomously as well as collaboratively.

Preferred Qualifications and Experience

• Master's degree in finance or related subjects, or alternatively 1–2 years’ experience as a financial analyst.
• Bachelor’s degree or equivalent qualification in Mathematics, Statistics, Physics, Engineering, Computer Science or another quantitative discipline.
• Sound understanding of financial statements and valuation methodologies.
• Proficiency with Excel and financial modelling software.

Additional Desirable Skills

• Hands-on experience or familiarity with AI tools such as large language models and data automation platforms.
• Knowledge of programming languages and analytical tools including Python, VBA, SQL, or other data analytics software.

What We Provide

• Practical experience with real-world financial and commercial analytics.
• Structured mentorship and opportunities for professional growth.
• An intellectually engaging and collaborative workplace.
• A competitive salary and benefits package.

Application Instructions

Applicants should submit a current CV alongside a concise cover letter that highlights their academic background, interest in finance and AI, and examples of analytical work undertaken.