Job Description

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.

Qualifications

• 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.