CRU Consulting are looking for recent graduates to join their team as a Research Analyst in London. As the consulting arm of CRU, we deliver bespoke projects across a wide section of clients in the mining, metals and energy industries. We provide value to our clients through accurate data, insightful analysis, and timely delivery. At CRU we work in a dynamic environment, alongside world experts and at an international level. There is a strong ethos around continuous learning and respecting good work-life balance, with many opportunities to grow your knowledge and network.

As a Research Analyst, you will:

• Carry out primary research across a wide range of product areas as well as using and developing data, models and methodologies to identify key trends and insights for our clients.
• Use CRU views, models and forecasts to produce written reports and presentations, developing original arguments and narratives that are clear and concise to our clients.
• Work in highly collaborative global teams, you will interact with colleagues around the region as well as our offices around the world.
• Client interaction is key and you will contribute to commercial proposals, insights and presentations as well as visiting sites, clients and conferences across the region as required.
• Use problem solving techniques to provide solutions through the effective communication of ideas to project team members and clients.
• Requires attention to detail, identification of trends, ability to look at the big picture and an interest in understanding key evolving issues surrounding commodity markets

About you:

• Undergraduate degree - While most of our applications are from fields such as Economics, Engineering, or Business, we will consider Graduates from a broad range of backgrounds. Post graduate qualifications would be advantageous
• Fluent written and spoken English. Fluency in another language would be advantageous
• Excellent quantitative skills.
• Ability to combine quantitative methods with the humanities - that is transforming data and models into compelling stories and arguments that are relevant for their target audience.
• Strong background in maths and/or economics
• Goal-oriented, with a high level of energy and enthusiasm; able to operate efficiently, effectively, and professionally within a fast paced, dynamic and results driven business environment