At a Glance
- Tasks: Analyse financial data and build models using AI tools in Shipping and Energy sectors.
- Company: Established fund manager with a focus on innovation and collaboration.
- Benefits: Competitive salary, mentorship, and professional development opportunities.
- Other info: Exciting opportunity for growth in a collaborative environment.
- Why this job: Join a dynamic team and apply your quantitative skills to real-world financial challenges.
- Qualifications: Bachelor's in a quantitative field; Master's or experience in finance preferred.
The predicted salary is between 30000 - 40000 £ per year.
Location: Central London
Start Date: Autumn 2026
We are an established fund manager in the fields of Shipping and Energy, seeking an exceptional professional or graduate with strong quantitative ability and a genuine interest in artificial intelligence and financial modelling to join our team as a Graduate Financial Analyst & AI Modelling Associate.
The role will involve working closely with the fund portfolio managers to facilitate portfolio construction, while also requiring the candidate to work independently. This role is ideal for a highly numerate candidate — preferably with a bachelor’s degree in a quantitative discipline such as mathematics, statistics, physics, engineering, computer science, and either a master’s degree in finance or one or two years’ experience in the financial market — who is excited by the application of AI tools to financial analysis, forecasting, and company modelling.
About the Role
- Financial analysis and valuation in the fields of Shipping and Energy
- Company and sector research
- Forecasting and scenario modelling
- Building and improving financial models
- Using AI tools to enhance research efficiency and analytical workflows
- Data interpretation and quantitative analysis
- Preparing reports, presentations, and investment materials
- Supporting strategic and commercial decision-making
The role offers an opportunity to develop practical expertise at the intersection of finance, quantitative analysis, and artificial intelligence.
Candidate Profile
- Outstanding numerical and analytical skills
- Strong academic performance
- Curiosity about financial markets and businesses
- Familiarity with financial modelling
- Familiarity or a willingness to learn to apply AI platforms and modern analytical tools
- Excellent problem-solving ability
- High attention to detail
- Strong written and verbal communication skills
- Intellectual curiosity and willingness to learn quickly
- Ability to work independently and collaboratively
Preferred Qualifications and Experience
- Master’s degree in a finance related subject or one or two years of experience as a financial analyst
- Bachelor’s degree (or expected degree) in Mathematics or another highly quantitative subject
- Understanding of financial statements and basic valuation concepts
- Knowledge of Excel and financial modelling
Nice To Have
- Experience using AI tools such as large language models, data analysis platforms, or automation tools
- Familiarity with Python, VBA, SQL, or data analytics tools would be advantageous
What We Offer
- Exposure to real-world financial and commercial analysis
- Mentorship and professional development
- A collaborative and intellectually stimulating environment
- Competitive compensation package
Application
Applicants should submit a current CV/resume.
Graduate Quantitative Analyst — Shipping & Energy Fund in London employer: Oceanic Investment Management
As a leading fund manager in the Shipping and Energy sectors, we pride ourselves on fostering a collaborative and intellectually stimulating work environment in the heart of Central London. Our commitment to employee growth is evident through mentorship opportunities and exposure to real-world financial analysis, making this an ideal place for graduates eager to apply their quantitative skills and explore the intersection of finance and artificial intelligence. With a competitive compensation package and a focus on professional development, we are dedicated to nurturing talent and innovation within our team.
Contact Details:
Oceanic Investment Management Recruitment Team
