Quantitative Developer

• Assisting in building and optimizing high-frequency trading models.
• Designing, implementing, and optimizing low-latency trading algorithms using advanced statistical and mathematical models.
• Learning and adapting to changing trading approaches and develop your technical skills.
• Monitoring and managing trading risk exposure through the development of risk models and mitigation strategies.
• Benchmarking the performance of trading strategies in real-time.
• Troubleshooting and debugging issues in existing systems.
• Demonstrating initiative, problem-solving skills, and collaboration in a fast-paced, data-driven trading environment.

• Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related quantitative field.
• Any level of relevant work experience in software development or a technical role.
• Demonstrated academic success with a strong foundation in mathematics and programming.
• Proficiency in Python and familiarity with best coding practices.
• Experience with CICD tools, specifically GitHub.
• Solid understanding of data structures, algorithms, object-oriented design principles, and data analysis methods.
• A solid understanding of asynchronous programming.
• Fundamental knowledge of financial markets and quantitative trading, with a willingness to learn new concepts.
• Excellent communication skills and the ability to explain complex subjects to non-technical stakeholders.
• Ability to work well in a fast-paced, data-driven environment with strong attention to detail.
• Proficiency in English for professional communication and knowledge sharing.

• Proficiency in C++ or Go.
• Knowledge of FIX, ITCH, OUCH, WebSocket, and REST protocols.
• Familiarity with in-memory databases and message brokers.
• Double major with another quantitative field such as Mathematics.
• Proven record of success at competitive events such as scientific olympiads or online programming contests at the national or international level.

TankX