Commodity Analyst

Commodity Analyst

Overall purpose of role:

- The purpose of this role is to support the Commodity Research team by gathering relevant data and performing analysis in an efficient and timely manner to help come up with a differentiated viewpoint for our clients.

- Improve and maintain existing oil supply models

- Assist the senior analyst in developing models for other geographies, increasing research coverage

Key Accountabilities:

- Gathering and organizing data meaningfully to analyze and evaluate trends for relevant commodity (energy)

- Building or Updating various databases and models maintained by the team

- Analyzing and evaluating trends (demand, supply, prices, flows, etc)

- Writing-up ongoing updates and contributing to research publications

- Keeping track of relevant news reports on major markets

- Generating files/analyses for client requests

- Summarizing our latest views and insights into marketing presentations for the senior analyst's client meetings

- Working with the team to generate new ideas as well as produce and publish research reports

Stakeholder Management and Leadership:

- This position sits within the Global Research function providing support to the Global Commodities Research team and requires the candidate to closely work with and interact directly with senior global stakeholders (e.g. Head of Commodity Research)

Decision-making and Problem Solving:

- The role requires a high degree of analysis and problem solving skills in delivering solutions.

Person Specification:

- Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Note: experience requirements must not be in the form of years (minimum or otherwise).

Essential Skills/Basic Qualifications:

- Basic understanding of and keen interest in global oil and gas markets

- Proficient in econometrics and have good quantitative skills (statistical packages such as Eviews, STATA, SAS or equivalent) as he/she will need to update and analyse various databases and models maintained by the team. He/she will also be required to suggest modelling changes/improvements.

- The team deals with a large volume of data (relating to demand, supply, prices etc.) and the candidate should have handled complex data, as they would have to figure out optimal ways to structure data/databases so we can efficiently perform ongoing analysis.

- The candidate should be proficient in VBA and Python so that he/she can automate tasks as well as develop new models or maintain existing models

- Working knowledge of Bloomberg

- Understanding of financial markets and instruments

- Excellent written and verbal communication skills

- Strong analytical and problem solving skills

- Strong attention to detail

- Demonstrated ability to work in a time sensitive environment

- Ability to work effectively in a team environment

- Resourcefulness, and proactive attitude

Desirable skills/Preferred Qualifications:

- Strong creativity

- Ability to work independently