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Commodity Brokers and Traders
Commodity brokers and traders buy and sell things like oil, metals, and farm products on financial markets. They make money by spotting good prices and timing their trades well, which also helps supply and demand stay balanced around the world.
No degree needed for many routes
AI impact: high££££ payDirect entry route
62
AI impact
how much AI is reshaping it
Robin · your guide
Curious about being a commodity brokers and traders? Here's the honest picture - what you'd really do, what you'd earn, and every way in. No need to decide anything yet.
What you'd actually do
As a commodity broker or trader, you buy and sell raw materials and goods like oil, wheat, copper, and coffee. You watch market data and economic news all day, trying to predict whether prices will go up or down. When you spot a good opportunity, you buy or sell quickly. The work is fast-paced and you need to stay sharp - good decisions make money, and bad ones lose it.
You spend a lot of time analyzing market information and working out what will happen next. You talk to clients about trading strategies and help them decide when to buy or sell. You also manage risk carefully - working out how much you can afford to lose on any single trade. The job suits people who enjoy problem-solving, can handle pressure, and like working with numbers and data.
1Analyze market trends and economic indicators to make informed trading decisions.
2Execute buy and sell orders on behalf of clients or for the firm's own account.
3Maintain relationships with clients, providing them with market insights and trading strategies.
4Monitor global news and events that may influence commodity prices and supply chains.
5Prepare detailed reports on market performance and trading activities for stakeholders.
6Utilize trading platforms and software to track positions and manage risk effectively.
7Collaborate with analysts and other traders to develop market forecasts.
8Attend industry conferences and networking events to stay informed about market developments.
Career progression & pay
01
Getting in
Junior Trader
£30,000 - £40,000
Bachelor's degree in finance, economics, or a related field.
As a Junior Trader, you will assist senior traders in executing trades and analysing market data. This entry-level position provides a solid foundation for understanding the trading process and developing analytical skills.
02
Building up
Mid-Level Trader
£50,000 - £70,000
Experience in trading and a strong understanding of market dynamics.
In a Mid-Level Trader role, you will take on more responsibility, executing trades independently and developing your own trading strategies. You will also begin to build a client base and establish your reputation in the market.
03
At the top
Senior Trader
£90,000+
Extensive trading experience and a proven track record of successful trades.
As a Senior Trader, you will lead trading operations, mentor junior traders, and make high-stakes decisions that impact the firm's profitability. Your expertise will be crucial in navigating complex market conditions.
Degrees that lead here via Finance & Accounting
Degree options are mapped from subjects - explore the buckets to find related courses.
Apprenticeships that lead here
No apprenticeship standard maps directly yet - the university or college route is the main way in.
Who hires - top UK employers
Goldman Sachs
A leading global investment banking, securities, and investment management firm.
Barclays
A British multinational investment bank and financial services company.
JP Morgan
A global leader in financial services offering solutions in investment banking.
AI & the future of this job
Commodity brokers and traders sit in genuinely contested territory: AI systems are already reshaping quantitative analysis, pattern recognition, and even order execution at speed no human can match. The routine analytical grunt work, such as synthesising price data, screening economic indicators, and generating market summaries, is increasingly handled by machine learning tools at major trading houses. However, the role is not simply evaporating. Relationship management, geopolitical interpretation, and the high-stakes judgement calls that move large positions still carry a distinctly human premium in this field.
Within 5 Years
Significant workflow disruption
Within five years, AI tools will handle the bulk of routine market monitoring, report drafting, and preliminary data analysis that junior traders and brokers currently own. Firms will expect graduates to operate these tools fluently rather than perform the underlying tasks manually. Client-facing and execution roles will persist, but headcount at the junior level will compress noticeably. The traders who thrive will be those treating AI output as a starting point for sharper, faster human judgement rather than a replacement for developing that judgement themselves.
Within 10 Years
Structural role contraction
Over a decade, algorithmic and AI-driven trading will dominate a larger share of commodity volume, particularly in more liquid markets like crude oil and base metals. The broker intermediary layer, where humans facilitate transactions for clients who lack direct market access, will shrink as platforms democratise access and AI advisory tools mature. Senior roles centred on bespoke client strategy, complex structured deals, and frontier or illiquid markets will remain, but the pyramid supporting those roles will be much flatter. Professionals who have built genuine expertise in a specific commodity sector and a strong client network will be significantly more insulated than generalists.
Within 20 Years
Redefined, smaller profession
In twenty years, commodity trading as a profession will likely look less like a large graduate employer and more like a specialised craft practised by a smaller number of highly skilled individuals. AI will manage the majority of price discovery, risk modelling, and execution in standardised markets. The human role will concentrate on navigating regulatory complexity, managing sovereign and counterparty relationships, and operating in markets where data is thin and geopolitical nuance is decisive. The career will still exist and can still pay extremely well, but the pathway in will be harder and the field significantly smaller than today.
How to stay ahead
Specialise in a physical commodity sector
Generic 'trading' knowledge is exactly what AI commoditises first. Deep expertise in a specific sector, such as LNG supply chains, soft commodities in emerging markets, or critical minerals tied to the energy transition, creates the kind of contextual judgement that models struggle to replicate. Build your degree electives, internships, and reading around one sector deliberately rather than spreading thin.
Develop genuine quantitative fluency
This does not mean becoming a software engineer, but it does mean understanding how algorithmic and AI-driven trading systems work well enough to interrogate their outputs critically. Courses in financial modelling, Python for data analysis, and risk management will make you a user of these tools rather than a bystander to them. Firms increasingly want traders who can challenge and contextualise what the model is telling them.
Prioritise relationship and communication skills
The parts of this role least susceptible to AI are the ones built on sustained human trust: advising a risk-averse client through a volatile market, negotiating terms on a large physical delivery contract, or managing a counterparty relationship across cultural boundaries. Actively seek client-facing internship experience and treat communication as a trainable professional skill, not a soft afterthought.
Consider adjacent roles with stronger longevity
Roles such as commodity risk management within corporate treasury, supply chain procurement for manufacturing or energy firms, or commodities-focused regulation and policy carry much of the same sector knowledge but are structurally less exposed to AI displacement than brokerage or discretionary trading. If you are drawn to the industry but uncertain about the trading seat itself, mapping these adjacent paths during your degree years is a smart hedge.
How to get in - your routes
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