Shipping & Trading graduate working at the intersection of maritime operations, energy markets and quantitative analysis.

Six months as a port agent handling 40+ port calls gave me a ground-level view of how cargo, contracts and money move in practice. My academic work focused on Brent/WTI volatility modelling with GARCH/EGARCH, while my data projects include operational and financial pipelines, management dashboards, and large-scale maritime data analysis.

I am currently looking for a first role in shipping, trading or quantitative market analysis where market understanding and data-driven decision-making meet.

• Shipping & Trading graduate from IAE Nantes
• Experience across port operations, operational finance and reporting
• Interested in oil products, gas, freight and commodity market analytics
• Comfortable with both market-facing topics and analytical workflows
• Looking for a first position where operational understanding and quantitative work come together

• Maritime operations
• Shipping and commodity trading
• Quantitative analysis
• Time series and volatility modelling
• Data pipelines and reporting automation
• Operational and financial analytics

Shipping Charter Parties Laytime / Demurrage Port Operations Oil Products Gas Freight Trade Finance

Python R GARCH / EGARCH VaR Time Series Analysis Predictive Modelling Statistical Modelling

SQL Excel / VBA Power BI Pandas NumPy Automation Data Pipelines Dashboarding

• Coordinated 40+ port calls, working with shipowners, charterers, port authorities and customs counterparts
• Built Python pipelines for operational and financial reporting with anomaly detection and coherence checks
• Designed management dashboards used for KPI tracking, variance analysis and reporting
• Modelled Brent/WTI crude oil price volatility using GARCH and EGARCH approaches
• Worked on maritime data projects involving large-scale vessel movement analysis

• Shipping and commodity market analysis
• Quantitative modelling for energy and freight markets
• Maritime data and operational analytics
• Building projects at the intersection of trading, shipping and data

Master's thesis focused on Brent/WTI crude oil price volatility modelling using GARCH/EGARCH, VaR, stress testing and backtesting.

• GitHub: github.com/Matt-Doy
• LinkedIn: linkedin.com/in/matteo-doyen
• Email: matt.kiefferdoy@gmail.com

Open to opportunities in shipping, trading and quantitative market analysis.