Quant Developer

BGC Group

Greater London

Hybrid

GBP 120,000 - 180,000

Full time

1 hour ago
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Job summary

BGC Group is seeking an experienced pricing and analytics quant developer to join our real-time data analytics team in London. You will collaborate with quantitative analysts, data scientists, and developers to produce high-quality data for Fenics Market Data.

Responsibilities include building pricing models, leveraging quantitative libraries, and contributing to scalable, robust solutions in a fast-paced, risk-aware environment.

Qualifications

  • Strong pricing analytics background in at least one asset class.
  • Proficiency in system design, CI/CD practices, and real-time event-driven environments.
  • Experience with shared frameworks for solution delivery and data-driven development.

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 challenges in real-time event-driven environments.
  • Collaborate with a global team, communicating effectively and managing workload independently.
  • Ensure conduct risk awareness and mitigate potential risks to client interests and market integrity.

Skills

Pricing analytics
Real-time systems
Python
Java
C++
CI/CD
Data-driven development
Problem-solving
Communication

Tools

KDB
Oracle
Sybase
Cassandra

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.
Job Info
  • Locations Five Churchill Place, London, Canary Wharf, E14 5HP, GB
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