Carter Wahlberg
Commodities Pricing Quant

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Join the model risk team of a global markets and commodities business with a serious track record — decades of unbroken profitability and a trading franchise spanning 30 markets. This is a seat where you validate the models the business actually trades on: recreating, testing and challenging derivative pricing and risk models in a structured, rigorous way, not just running reports.
The mandate sits close to the trading activity and covers real breadth — from multi-asset derivatives pricing and curve construction through to valuation adjustments, counterparty credit and market risk. For a junior quant, it's hard to find a faster way to build a complete picture of how pricing and risk models work across asset classes, with strong cross-skilling and a clear path into the wider quant world.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What you'll do
- Validate the pricing and risk models that underpin trading across commodities and global markets — derivatives pricing, curve bootstrapping, valuation adjustments, counterparty credit and market risk methodologies
- Recreate, test and challenge models independently, applying analytic techniques such as simulation, regression, optimisation and time series analysis
- Work directly with the trading and quant teams who own the models — understanding how they're used, pressure-testing assumptions and communicating findings clearly
- Turn technical analysis into conclusions that stakeholders can act on, contributing to real decisions on model approval and use
- Build breadth fast through cross-skilling and exposure to a diverse project pipeline across asset classes


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What you'll need
- A strong quantitative background — a degree in Mathematics, Physics, Engineering, Quantitative Finance or similar — and sharp problem-solving ability
- An understanding of financial markets and the risk drivers behind financial products
- Practical experience with analytic techniques: simulations, regression analysis, optimisation or time series analysis
- Confidence in one or more programming languages — Python, C++, R, MATLAB or similar
- Clear communication, written and in person — you'll be explaining technical findings to stakeholders who need to act on them
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