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mthree

Quantitative Developer

London
Posted 1 day ago
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Quant Developer - C++

We are partnering with a leading global investment bank seeking a highly skilled Equity Derivatives Quant Developer to join a front-office quantitative technology team. This role sits at the intersection of quantitative finance, software engineering, and trading technology, delivering high-performance solutions that support pricing, risk analytics, and trading activities across complex equity derivatives products.

You will work closely with Quantitative Researchers, Traders, Structurers, and Technology teams to develop and enhance pricing libraries, risk engines, and real-time trading applications within a fast-paced front-office environment.

Key Responsibilities

  • Design, develop, and maintain high-performance quantitative analytics and pricing libraries
  • Implement, optimise, and support pricing models for equity derivatives products including options, exotics, and structured products
  • Develop scalable and low-latency applications using modern C++
  • Build and enhance multi-threaded and distributed computing solutions for pricing and risk calculations
  • Work closely with Front Office Quants and Traders to translate business requirements into production-grade technology solutions
  • Improve performance, reliability, and maintainability of existing quantitative platforms
  • Participate in model implementation, validation support, and deployment processes
  • Contribute to architecture and technical design decisions across the quantitative technology stack

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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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Strong

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.

Required Skills & Experience

Technical Skills

  • Strong commercial experience developing in C++ (preferably C++17 or newer)
  • Solid understanding of multi-threading, concurrency, and parallel computing concepts
  • Experience building high-performance, low-latency systems
  • Strong software engineering fundamentals including algorithms, data structures, design patterns, and testing practices
  • Experience working within Linux development environments
  • Knowledge of version control tools such as Git

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Quantitative & Financial Knowledge

  • Experience within Equity Derivatives, Quantitative Development, or Front Office Trading Technology
  • Understanding of derivative pricing concepts and risk measures (Greeks)
  • Familiarity with mathematical and statistical modelling techniques
  • Ability to collaborate effectively with quantitative and trading stakeholders

Desirable Skills

  • Development experience in C# for trading, risk, or analytics applications
  • Strong Python skills for model prototyping, analytics, automation, and testing
  • Knowledge of Monte Carlo methods, stochastic processes, and numerical methods
  • Experience with distributed computing frameworks and cloud technologies
  • Exposure to pricing libraries and risk platforms within investment banking environments.
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Skills

C++
Multi-threading
Low-latency Systems
Equity Derivatives
Quantitative Finance
Linux
Git
C#
Python
Monte Carlo Methods
Stochastic Processes
Numerical Methods
Distributed Computing
Algorithms
Data Structures
Design Patterns

Location

London, England, United Kingdom

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