Barclay Simpson
Director – Cross-Asset Quant | Pricing Model Quality

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I'm partnering with a leading investment bank on a Director-level opportunity within its Front Office Quantitative Analytics function.
This is a strategic technical leadership role focused on reviewing, challenging, and improving pricing models across a global Front Office platform. Rather than owning a single asset class, you'll work across Rates, FX, Equity, Credit, and Hybrid Derivatives, partnering with specialist quant teams to drive pricing model quality, governance, and consistency.
The Role
Working closely with Front Office Quantitative Analytics, Trading, Quant Development, Model Validation, Technology, and Market Risk, you will:
- Review and challenge pricing models and modelling approaches across multiple asset classes.
- Drive pricing model quality, governance, and consistency across the global pricing model framework.
- Review, challenge, and enhance pricing methodologies and calibration approaches, contributing to the evolution of the firm's pricing framework.
- Partner with specialist quant teams to improve model implementation, robustness, and technical solutions.
- Provide technical leadership across the global pricing model framework.
- Influence senior Front Office stakeholders and help shape the future direction of pricing models across the business.
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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
While this isn't a pure model development role, you'll remain close to the technical detail. The emphasis is on applying strong quantitative judgement to review existing models, challenge assumptions, improve methodologies, and influence the design and evolution of pricing models across multiple asset classes.
This is not a traditional people management role. Instead, it's an opportunity for someone with the technical credibility to become a recognised authority across the Front Office quantitative environment, with the scope to help build the capability over time.


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Requirements
We're looking for candidates with experience in:
- Front Office Quantitative Analytics.
- Pricing model development, ownership, review, or governance.
- Rates, FX, Equity, Credit, or Hybrid Derivatives.
- Cross-asset pricing models or hybrid modelling.
- Strong stakeholder management with the confidence to challenge and influence senior Front Office stakeholders.
- Python is preferred, although strong modelling experience in another language will also be considered. C++ is beneficial but not essential.
This is a unique opportunity to influence how pricing models are reviewed, governed, and evolved across a global Front Office platform, working alongside senior quantitative teams across multiple asset classes and helping shape the future direction of the firm's pricing model framework.
If you'd like to hear more, I'd be happy to arrange a confidential discussion.
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