CA
CargillAdvisor, Quantitative Trader
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Before you apply
LocationGeneva, Geneva, Switzerland
Typefull-time
SenioritySenior
Experience6+ yrs
DepartmentAg & Trading
Company size10,000+ people
PostedJun 16, 2026 · 4mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Masters and/or PhD in a quantitative discipline
Minimum of six years of related work experience
Hands-on experience building infrastructure: Python proficiency + SQL proficiency, knowledge of OOP languages
Running a book of multi-commodities strategies
Running time spread strategies
Fluent in optimizers, portfolio construction and cost modelling/controlling
Experience with fundamental and alternative data strategies
Experience with intraday strategies
Skills
Python
SQL
About the company
Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life’s essentials, we enable businesses to grow, communities to prosper, and consumers to live well.
This position is in our Ag & Trading enterprise, where we connect producers and users of grains and oilseeds around the globe through origination, trading, processing, and distribution. We also offer a range of farmer services and risk management solutions.
Job Purpose and Impact
Join the systematic trading team with Cargill’s World Trading group. The team is trading futures and options on commodities across the globe. It runs a diversified portfolio of non-fundamental and fundamental strategies in a fully systematic setup. The team is now looking to for a quant researcher/trader with multi-asset and time spreads portfolio experience
Key Accountabilities
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Running a book of multi-commodities strategies going beyond the traditional factors
•
Running time spread strategies
•
Fluent in optimizers, portfolio construction and cost modelling/controlling
•
Experience with fundamental and alternative data strategies
•
Experience with intraday strategies
Qualifications
Minimum Qualifications
•
Masters and/or PhD in a quantitative discipline (statistics, computer-science, engineering, quantitative finance, etc.)
•
Minimum of six years of related work experience
•
Other minimum qualifications may apply
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Hands-on experience building infrastructure: Python proficiency + SQL proficiency, knowledge of OOP languages
Our Offer
We provide a fast paced stimulating international environment, which will stretch your abilities and channel your talents. We also offer competitive salary and benefits combined with outstanding career development opportunities in one of the largest and most solid private companies in the world.
Legal
We welcome applications from people with disabilities and are committed to providing an inclusive, accessible recruitment process and workplace. We encourage candidates to let us know if they require any accommodations during the recruitment or interview process so we can support them appropriately.
Interested? Then make sure to send us your CV and cover letter in English today: Follow us on LinkedIn: https://www.linkedin.com/company/cargill
Cargill is committed to being an inclusive employer. Click here to find out more https://careers.cargill.com/diversity/