Quantitative Commodity Analyst
Job Description:
Job Title: Quantitative Commodity Analyst
Company: The Smart Cube
Location: Hammersmith, London
Salary: £30000 – £40000 p.a.
Position type: Permanent
Employment type: Full time
Date posted: 3rd October, 2011 Closing date for application: 2nd November 2011
We are looking for Quantitative Commodity Analyst to join our specialized team in a global professional services firm.
Key Duties and Responsibilities:
- Analysing supply, demand and other risk factors affecting various commodity markets including Wheat, Corn, Cocoa, Soybeans, Palm Oil and Natural Gas.
- Collect, organise and update internal databases with data from various statistical agencies and Bloomberg.
- Identify trends, model and forecast prices using various statistical techniques includes econometrics and Monte Carlo simulations.
- Prepare presentations and reports for senior management discussing outcomes of studies and proposing strategies for hedging risk.
Skill Qualifications and Experience:
- Degree in a Quantitative discipline (Finance, Economics, Statistics).
- 1-2 Years of work experience in commodity markets, preferably having worked within soft commodities (Wheat, Cocoa, Corn etc.) with some knowledge of energy markets.
- In depth knowledge of workings of the various agricultural commodity markets as well as the various supply, demand, weather and political factors that affect them.
- Experience with building econometric models, price forecasting and performing Monte Carlo simulations.
- Working knowledge of hedging and related strategies.
- Proficient with using Excel, Matlab, Eviews and any other statistical packages.
- Good VBA programming skills.
- Good communication and presentation skills.
How to apply:
To apply for this job candidates should send application and CV to gautam.singh@thesmartcube.com by the closing date 2/11/2011.
