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Quantitative Developer

Company:
Pharo Management
Location:
London, Greater London, United Kingdom
Posted:
September 18, 2025
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Description:

Quantitative Developer

Who we are:

Pharo Management is a leading global macro hedge fund with a focus on emerging markets. Founded in 2000, the firm has offices in London, New York and Hong Kong and currently manages $7 billion in assets across four funds. Pharo trades foreign exchange, sovereign and corporate credit, local market interest rates, commodities, and their derivatives. We trade in over 70 countries across Asia, Central and Eastern Europe, the Middle East and Africa, Latin America as well as developed markets. Our investment approach combines macroeconomic fundamental research and quantitative analysis.

Pharo employs a diverse, dynamic team of 130 professionals representing over 20 nationalities and 30 languages. We have a strong corporate culture anchored in core values such as collaborative spirit, creativity, and respect. We are passionate about what we do and are committed to attracting the best and brightest talent.

This is a great opportunity to join a market leader, and contribute to our continued success.

Job description:

We are looking for a Quant Developer in our London office. This position will work closely with a global team of quants. The role will report to the Chief Risk Officer.

Responsibilities:

Implement, test, and maintain pricing models and risk infrastructure

Write production-grade Python code with a strong emphasis on readability, performance, and testing

Collaborate in code reviews, pair programming, and team design discussions

Enhance CI/CD pipelines, testing frameworks, and logging/monitoring systems

Work on fixed income and derivatives products, including IR, FX, bonds, and options

Partner with quants to understand requirements and translate them into robust engineering solutions

Skills & Experience:

Required

Degree in Computer Science, Engineering, Mathematics, Physics, or related field

0–5 years’ experience, or a strong graduate with demonstrable programming

Proficiency in Python (experience with pandas and numerical libraries).

Understanding of software engineering best practices (testing, CI/CD, version control with Git)

Strong problem-solving skills and ability to work with complex systems

Excellent communication and collaboration skills across teams and time zones

Willingness and enthusiasm to learn financial products and derivatives

Preferred

Some exposure to finance or financial instruments (fixed income, derivatives, options)

Experience working in a collaborative environment with code reviews and pair programming

Exposure to Git workflows and collaborative development practices

Familiarity with C++ (legacy codebase context)

Awareness of large-scale pricing libraries (QuantLib, Strata, or similar)

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