Commodity Trading House - Agri
- You will design and develop quantitative trading models/tools based on fundamental and non-fundamental factors influencing the agricultural commodity markets to support trading portfolio of the company.
- Lead and build the quantitative analytics repository on fundamentals and non-fundamental factors driving agricultural commodity markets.
- Conduct correlation and regression analysis of macroeconomic factors, such as monetary interest rates, inflation, and commodity price movements.
- Drive the design and prototyping of the new quant trading models, tools, and strategies.
- Extensive experience in quantitative analytics and research in a trading environment.
- Experience of working in banks, proprietary trading firms, hedge funds, or physical trading houses.
- Strong knowledge of the Agri commodity trading market
- Strong understanding of quantitative modeling methods, machine learning, AI, Python, R, VBA etc.
- Strong analytical and quantitative skills with the ability to work in a fast-paced environment
- An undergraduate degree with honors and possibly a masters/PhD degree in a quantitative field such as (Applied) Mathematics, Physics, Computer Science or Engineering,
- Strong written and communication skills in English.