Quantitative Developer – CCR

Job Description

  • Contractor
  • Anywhere

Are you a skilled C# developer looking to make an impact in banking and financial services? Apply Now!

Working with one of our top financial clients, this role calls for a Quantitative Developer – CCR to join the Quantitative Engineering team. This position offers the opportunity to contribute to advanced trading applications and analytics libraries used across global markets, working on real-time trade and market data systems that directly influence trading success and risk management.

Responsibilities:

Design and develop high-performance C# applications for trading and risk management solutions
Build and maintain distributed systems and microservices capable of scaling to large volumes of data
Utilize cloud-based platforms such as AWS and Kubernetes for deployment and management of applications
Develop and support messaging infrastructure using Kafka and ActiveMQ
Implement monitoring and logging solutions with Prometheus, Grafana, and Kibana
Participate in code reviews, testing, and quality assurance activities
Collaborate with cross-functional teams to develop new features and improve existing systems
Maintain operational stability and perform troubleshooting for existing applications
Stay current with industry trends and emerging technologies to keep products innovative
Desired Skill-Set:

5 to 10 years of experience in C# development
Strong expertise in modern C# and object-oriented programming principles
Experience with distributed systems and microservices architecture
Proficiency in Windows and Linux operating systems
Knowledge of CI/CD tools such as Jenkins, Git, and Gitlab
Strong analytical and problem-solving skills
Familiarity with cloud technologies like AWS and Kubernetes
Experience with Kafka and ActiveMQ messaging systems
Nice to Have:

Understanding of financial pricing models and derivative valuation
Additional experience with cloud platforms such as AWS
Knowledge of security testing tools and OWASP top 10 vulnerabilities
Prior work within the financial industry, especially trading environments