Quantitative Developer - Python/Java

Key Responsibilities :

- Write high-performance, low-latency code in languages like C++ or Java to ensure real-time system efficiency.

- Collaborate closely with quantitative researchers, traders, and other stakeholders to translate mathematical models into production-level code.

- Design and build data pipelines for efficient data acquisition, cleaning, and processing from various financial market sources.

- Conduct thorough backtesting and validation of models to ensure accuracy and reliability under various market conditions.

- Optimize and refactor existing codebases to improve performance, scalability, and security.

- Utilize statistical analysis and machine learning techniques to extract actionable insights from large datasets.

- Participate in code reviews, system design discussions, and contribute to the team's knowledge sharing.

Required Skills & Qualifications :

- Exceptional programming skills in a high-performance language, preferably C++ or Java.

- Proficiency in Python for prototyping and data analysis is also essential.

- Strong understanding of data structures, algorithms, and computational complexity.

- In-depth knowledge of financial markets, instruments (derivatives, equities, etc.), and quantitative finance concepts.

- Experience with multi-threaded programming and low-latency systems.

- Familiarity with statistical analysis, machine learning techniques, and relevant libraries (e.g., NumPy, pandas).

- Experience with large datasets and database systems (SQL, NoSQL).

- Excellent problem-solving abilities and the capacity to work in a fast-paced, demanding environment.

- Strong communication skills to explain complex technical concepts to non-technical stakeholders