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BudgetingPythonExcelCommunication
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Sponsorship unknown
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About the role
OverviewSeeking an experienced agricultural commodities senior analyst to generate differentiated trade ideas across grains, oilseeds/vegoil, and soft commodities. The role combines market analysis, balance-sheet forecasting, systematic modelling, and discretionary trading.ResponsibilitiesDevelop fundamental market views and trade ideas across grains, oilseeds/vegoil.Build dynamic supply-and-demand balances, crop modeling- yield and production modeling incorporating weather.Identify relative-value, calendar-spread, basis, and outright-price opportunities.Develop Python based models using fundamentals, price relationships, seasonality, and trade-flow data.Experience of executing and monitoring trades within defined risk limits; manage positions, P&L, and market risk.Maintain large-scale commodity datasets, dashboards, and research tools.Present market views, trading recommendations, and risk scenarios to portfolio managers and management. Requirements15 years+ experience in agricultural commodity research and analytics.Deep expertise in grain and oilseed/vegoil markets; soft-commodity experience preferred.Strong understanding of global flows, supply-demand balances, and futures-market structure.Demonstrated record of developing actionable trade ideas and managing or supporting commodity risk.Advanced Python and Excel/VBA skills; experience with data modelling and machine-learning techniques is prefered.Strong quantitative, commercial, and communication skills.Degree in economics, finance, engineering, maths, or a related quantitative discipline.Preference of being based in Geneva/Zug What We OfferCompetitive compensation, inclusive of performance-based bonuses.Comprehensive benefits package.Pathways for professional growth and career development.A dynamic and supportive work environment where innovation and creativity are encouraged.Opportunity to be part of building a great business where your efforts are recognized and valued.Teamwork
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