Develop and integrate pricing models within a resilient, real-time event-driven framework. Contribute to quantitative libraries, implement data-driven development (unit tests, mocking, back-testing), collaborate with quants, data scientists, and engineers, research innovative solutions, and ensure conduct risk awareness while working with global teams.
We are seeking an experienced pricing and analytics quant developer to join our real-time data analytics team. As part of a multidisciplinary group, you will collaborate with quantitative analysts, data scientists, and developers to produce high-quality data for the Fenics Market Data business. Your work will have a significant impact, both internally and externally, as our data is widely used across the industry.
Responsibilities
- Develop pricing models within an application development framework, ensuring resilience and best practices.
- Contribute to and utilize quantitative libraries for efficient model development.
- Integrate pricing models and collaborate with team members from different disciplines.
- Research and develop innovative solutions to address new and existing challenges in real-time event-driven environments.
- Work with shared frameworks to deliver robust and scalable solutions.
- Implement data-driven development practices, including unit testing, mocking, and back-testing.
- Stay updated with the latest advancements in AI-assisted coding and apply them to your work.
- Collaborate with a global team, communicating effectively and managing your workload independently.
- Ensure conduct risk awareness, identifying and mitigating potential risks to client interests and market integrity.
- Strong background in pricing analytics, with experience in at least one asset class.
- Proficiency in system design, CI/CD practices, and working in real-time event-driven environments.
- Experience with shared frameworks for solution delivery and a track record of data-driven development.
- Proven expertise in multiple programming languages, including Python, Java, or C++, with a willingness to learn additional languages.
- Familiarity with relational and NoSQL databases, such as KDB, Oracle, Sybase, or Cassandra.
- Previous exposure to electronic trading systems, execution platforms, and hedging algorithms is advantageous.
- Experience with container frameworks and related tooling is desirable.
- Excellent problem-solving skills, with the ability to translate complex business requirements into practical solutions.
- Analytical mindset, capable of understanding and presenting insights effectively.
- Collaborative and confident communication style, with the ability to manage your workload and provide regular feedback.
Cantor Fitzgerald London, England Office
London, United Kingdom, 0
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