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Quantitative Developer
Distinguished Quantitative Engineer – Exotic Derivatives
Premium contract opportunity at a leading global financial institution—£65-85k + commission.
This role is responsible for the modelling, numerical implementation, and performance optimization of live analytics and trading systems for complex and exotic OTC derivatives in London.
About the Role
- Position: Distinguished Quantitative Engineer / Principal Individual Contributor (IC)
- Contract Duration: 6–12 months (with extension potential)
- Working Model: Hybrid (3 workdays onsite, rest remote)
- Location: London, UK (inside IR35 rules).
- Culture: Focused on quant development excellence, not people management.
Responsibilities
Principal individual contributor with full accountability for end-to-end quantitative development:
- Key Focus Areas
- Independently design, implement, and validate pricing and risk models across:
- Equity derivatives (barrier, Asian, exotics)
- Rates (structured products, index options)
- FX (exotic forwards, barriers, digitals)
- Commodities (path-dependent structuring)
- Build and maintain gold-standard analytics libraries (valuation, sensitivities, scenario generation, XVA).
- Evaluate model performance (speed, numerical accuracy, calculation robustness).
- Establish and enforce engineering standards for quantitative rigor and code quality.
- Independently design, implement, and validate pricing and risk models across:
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
- Technical Execution
- Numerical Methods: Adaptive Monte Carlo (variance-reduction), tree/lattice implementations, PDE solvers.
- Systems Integration: Validate models against production-grade computing frameworks.
- Production Readiness: Ensure high performance, scalability, and low-latency for quant strategies and risk computation.
- Debug/improve legacy quantitative code while preserving reliability and efficiency.
Requirements
Technical & Professional Background
- Core Expertise: QE quant or QUANTEL lens (with equal emphasis on mathematical and software contributions).
- Experience: 15+ years of hands-on quantitative development, evidence of real code locked in production for live trading books.
- Requirements Documentation: Proven track record behind:
- Exotic derivatives (interactive pricing libraries, intraday risk engines).
- Independently authored quant components (curve frameworks, VIX models, scenario templates).
- Self-commissioned numerical backtests (spikes in Greeks, market stress).


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Technical Proficiencies
- Reads fluently in scientific notation and can ** $$½VALIDATE ALL OPTIONS** $$ across risk books.
- Structurally-aware lattice periods, Greeks monitoring, calibration to market data.
- Production-Tier Libraries:
- Java: (Numerix, Quantlib/ML equivalent on quantitative side).
- C++: (efficient matrix operations, vectorized derivs payoffs).
- Python: (process-conscious stocktake for complex options).
- Experience with multi-curve frameworks (OIS discounting, ar sintetics) and practical handling of market imperfections.
Academic & Leadership
- Advanced Degree: Prefer master/PhD in Mathematics, Phys., Eng., or CS—validated by peer institutions.
- Are examined on their ability to stand against the existing quantitative team and proactively set the standard for how quant models evolve in an intense environment.
Distinctions: “This is not generic research. We live by a principle of shipping code, not serving theory.”*
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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