Front Office Quantitative Developer

This is a remote position.

Requirements

Required Skills & Qualifications (Must-Have):

• Degree in Mathematics, Physics, Computer Science, Engineering, or an equivalent quantitative discipline.
  
• Solid background in equity derivatives, financial markets, and trading environments.
  
• Strong hands-on experience with object-oriented languages such as Python, C#, or C++ (Python and C# preferred).
  
• Proven experience developing distributed applications and multi-threaded systems.
  
• Strong working knowledge of design patterns and SOLID principles.
  
• Practical experience with CI/CD processes and version control tools.
  
• Experience with service-oriented architecture and messaging-based systems.
  
• Experience integrating applications with back-end infrastructure for containerization, databases, and deployment.
  
• Demonstrated ability to build and maintain high-performance, low-latency applications.
  
• Experience working directly with front-office stakeholders such as traders and sales desks.
  

Soft Skills:

• Strong communicator, able to translate front-office requirements into clear technical solutions.
  
• Comfortable engaging directly with traders and sales in a fast-paced, deadline-driven environment.
  
• Analytical and detail-oriented, with strong problem-solving skills under pressure.
  
• Collaborative team player able to work effectively across quant, engineering, and trading functions.
  
• Proactive and self-driven, with a strong sense of ownership from design through production support.
  
• Adaptable to shifting priorities within a dynamic trading environment.
  

Preferred Qualifications / Nice-to-Have:

• Experience with volatility modeling or derivatives pricing libraries.
  
• Familiarity with cloud-native deployment and container orchestration (e.g., Kubernetes, Docker).
  
• Exposure to messaging technologies such as Kafka, Solace, or similar.
  
• Experience with real-time data visualization frameworks.
  
• Prior experience within an investment bank or financial markets technology environment.
  
• Familiarity with corporate actions processing and reference data.
  
• Knowledge of additional programming languages (e.g., Java, R).