Quant Developer – Library Re-Write

Fourier; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company in financial technology is seeking a Quant Developer to participate in the redevelopment of critical pricing and risk management applications. The position requires strong programming abilities across languages such as C++, Python, and Rust, alongside a solid understanding of financial markets and quantitative analytics. Ideal candidates will have a background in relevant fields and at least two years of software engineering experience, contributing to high-performance software solutions in a dynamic team.

Qualifications

• At least 2 years of professional software engineering experience.
• Programming skills in an object-oriented or functional paradigm.
• Expertise in creating and validating pricing and/or risk models.

Responsibilities

• Join a team to redevelop pricing analytics and risk management applications.
• Design, develop, and support reliable components in a fast-moving environment.

Skills

C++

Python

Rust

Quant Library Design

Graph Computing

Real-Time Analytics

Pricing

Risk

Derivatives

Fixed Income

Education

Quantitative, computer science, or engineering academic background

Job description

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Quant Developer – Library Re-Write, London

Client: Fourier

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 74d21d72f583

Job Views: 23

Posted: 18.06.2025

Expiry Date: 02.08.2025

Job Description:

Required skills:

C++, C, Python, Rust, Quant Library Design, Graph Computing, Real-Time Analytics, Pricing, Risk, Derivatives, Fixed Income.

You will join a team of experienced quants and developers embarking on the complete redevelopment of the pricing analytics, risk management, market data, trade capture, and reporting applications.

You must have a passion for delivering robust, high-performance software and quantitative analytics, with either experience in financial markets or an interest to learn about them. You will design, develop, and support highly reliable components across a range of technologies in a fast-moving environment. A strong understanding of structured products, including payoff terms, pricing models, risk measures, PnL reporting, and hedging considerations is advantageous.

Key Skills:

• Quantitative, computer science, or engineering academic background
• At least 2 years of professional software engineering experience
• Programming skills in an object-oriented or functional paradigm (Java/C++/Python/Scala/Haskell/Rust)
• Expertise in creating and validating pricing and/or risk models
• Library design and development (preferably on Athena, Quartz, Beacon, or SecDB)