Quant Developer

Cantor Fitzgerald; City of Westminster; On-site; GBP 120,000 - 180,000; Full time

Job summary

Cantor Fitzgerald Securities in London, United Kingdom, is seeking a Quant Developer to join our real-time data analytics team. You will work with quantitative analysts, data scientists and developers to produce high-quality data for Fenics Market Data, impacting internal and external stakeholders.

Responsibilities include developing pricing models, contributing to libraries, integrating models, and researching innovative solutions for event-driven environments.

Qualifications

• Pricing analytics experience in at least one asset class.
• Experience with CI/CD and real-time event-driven environments.
• Proficiency in Python, Java, or C++.
• Familiar with relational/NoSQL databases (KDB, Oracle, Sybase, Cassandra).
• Experience with electronic trading systems is advantageous.
• Experience with container frameworks desirable.

Responsibilities

• Develop pricing models within an application development framework.
• Contribute to quantitative libraries for model development.
• Integrate pricing models with cross-disciplinary teams.
• Research and develop solutions for real-time event-driven challenges.
• Work with shared frameworks to deliver robust and scalable solutions.
• Implement data-driven development practices including unit testing and back-testing.
• Stay updated with AI-assisted coding techniques and apply them.
• Collaborate with a global team and manage workload independently.
• Maintain conduct risk awareness and mitigate potential market risks.

Skills

Pricing analytics

Real-time systems

CI/CD

Python

Java

C++

Databases

KDB

Trading systems

Containers

Problem solving

Analytical mindset

Communication skills

Job description

Quant Developer

Company: Cantor Fitzgerald Securities

Location: London, United Kingdom

Type: Permanent

Closing Date: 2026-04-20T07:10:22.927Z

Reference Number: 24149403

Employment Type: Full time

Salary: Competitive

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.