Dot Net Core / C # Developer

• Duties: Develop and optimize low-latency trading algorithms using .NET Core. Integrate real-time market data feeds and order execution systems to ensure seamless connectivity.
  Implement robust backtesting frameworks for strategy validation, ensuring accuracy in simulation environments.
• Maintain high performance, scalability, and system reliability across all deployed applications.
• Collaborate closely with quants and traders to refine trading logic and enhance quantitative models effectively.

Requirements:

• Demonstrated familiarity with API Integration processes.
• Strong proficiency in .NET C# Core Concepts and application architecture.
• Deep understanding of multithreading, concurrency patterns, and advanced performance tuning techniques essential for trading environments.
• Solid grasp of trading systems operations, market data protocols (FIX, IBKR), and risk management principles.
  

Nice to Have:

• Knowledge of Trading Fundamentals including Market microstructure dynamics and execution strategies.
• Experience with Quantitative finance methodologies, Machine Learning models, or Data analysis techniques.
• Familiarity with Python for data analysis tasks to enhance research capabilities.
  Exposure to low-latency messaging systems such as Kafka or RabbitMQ is highly valued in our team.