Quantitative Developer - Python
Our client is seeking a Quantitative Python Engineer to join their highest-performing team at a leading trading firm in London. This is a business-critical role focused on building, maintaining, and optimising tools that support the firm's world-class research team.
As a Quantitative Python Engineer, you'll work in a fast-paced, intellectually stimulating environment, where top talent will both challenge and support you to perform at your best. You'll play a key role in enhancing performance across core technologies and trading strategies.
Responsibilities:
- Develop, test, and maintain models and infrastructure for pricing and risk
- Write clean, efficient Python code with a focus on performance and reliability
- Contribute to collaborative engineering practices, including code reviews and design discussions
- Improve development pipelines, testing tools, and monitoring systems
- Work with a range of financial instruments across asset classes
- Translate research requirements into robust technical solutions
Requirements:
- 3-6 years of Python experience
- Experience within the financial services industry, ideally within fixed income, derivatives, or options.
- In-depth knowledge of statistical libraries like Numpy, Pandas, Polars.
- Understanding of software engineering best practices (testing, CI/CD, version control with Git)
- Ability to work in a fast-paced dynamic environment.
- Familiarity with C++ is preferred.
- Awareness of pricing libraries like QuantLib, Strata, or similar
- High level of energy and enthusiastic to learn more about financial products
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