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.

Preferred Qualifications:

• 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.

• A hands-on learning experience in quantitative finance and software development.

• Mentorship from experienced developers and industry professionals.

• Exposure to real-time trading systems and algorithm development.

• An opportunity to work with a multibillion-dollar trade volume.

• Hybrid and flexible work environment in a modern, centrally located office.

• A competitive compensation package,

• Bonus structure and equity option,

• Private health insurance with dental coverage and meal card.