Graduate Program – Quantitative Analysis
Contract Type: Permanent
Turn data into commercial insight.
At Gunvor, quantitative analysis plays a critical role in helping our commercial teams understand markets, identify opportunities and make informed trading decisions.
Our 18-month Quantitative Analysis Graduate Program is designed for curious, analytical graduates who want to apply mathematics, technology and data to real-world trading challenges while building a long-term career in commodity markets.
You'll join an international environment where quantitative research, analytics and commercial thinking come together to solve complex business problems.
Your Journey
During the Program, you'll complete two 9-month rotations, giving you exposure to different quantitative and commercial functions across the business.
Depending on business needs, rotations may include:
You'll be based in Houston, with the opportunity for an international rotation in one of our global offices, including Geneva, Singapore or London.
Alongside your rotations, you'll follow a structured development journey combining technical learning, industry knowledge and professional development to prepare you for a career in quantitative analysis within commodity trading.
What You'll Do
Throughout the Program, you'll:
- Build and enhance quantitative models that support commercial and trading decisions.
- Analyse market data to identify trends, relationships and opportunities.
- Develop forecasting, optimisation and analytical tools.
- Work closely with quantitative analysts, traders, researchers and Market Risk teams.
- Apply programming and statistical techniques to solve real business challenges.
- Present analytical findings and recommendations to stakeholders.
- Take ownership of meaningful projects from the beginning of your career.
Who We're Looking For
We're looking for analytical thinkers who enjoy solving complex problems and applying quantitative methods to commercial challenges.
You'll ideally have:
- A Master's or PhD in Mathematics, Statistics, Physics, Engineering, Computer Science, Data Science, Quantitative Finance or another highly quantitative discipline.
- Up to 24 months of professional experience, excluding internships.
- Strong programming skills, particularly in Python.
- Experience using modern analytical tools and AI-enabled solutions to enhance research, modelling or decision-making.
- Excellent analytical, critical thinking and problem-solving skills.
- Strong communication skills and the ability to explain complex ideas clearly.
- Curiosity about global commodity markets and quantitative trading.
Previous internships or professional experience within quantitative finance, banking, commodities, energy trading or research will be considered a strong advantage.
What We Offer
- A structured 18-month Graduate Program with two rotations.
- Formal onboarding and a comprehensive learning and development journey.
- Mentorship from experienced quantitative professionals.
- Exposure to real commercial challenges and trading decisions.
- International rotation opportunities across our global offices.
- A collaborative, entrepreneurial and international working environment.
- A competitive compensation and benefits package.
Selection Process
Our recruitment process consists of the following stages:
- Application – Application through our Careers website launches on September 1st and runs through October 2nd 2026.
- Online Assessment – Complete online assessments, including a HireVue interview, numerical reasoning and a Python assessment.
- Application Review – Assessment of your academic background, relevant experience and eligibility to work in the hiring location.
- Interviews – Meet with our Talent Acquisition team and business representatives to discuss your motivation, technical capabilities and potential.
- Assessment Day – Final-stage candidates will complete interviews and a technical Python assessment with our business teams.
If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.
