Quant Researcher

About this role

About the role: - Build and refine trading algorithms leveraging NK Securities Research's proprietary technology stack - Extract actionable insights from large-scale financial data to uncover market inefficiencies and profit opportunities - Assist senior traders with quantitative analysis and model validation - Create forecasting systems that anticipate price movements across markets - Guide junior team members and recent graduates through their early career development What we're looking for: - Bachelor's degree in Computer Science, Mathematics, or Engineering from a top-tier university - Between 0 and 4 years of professional experience in relevant fields - Strong C++ or C programming skills, with the ability to write production-grade code - Comfortable working in Linux environments and writing Python scripts - Proficiency with shell scripting for automation and system administration tasks - Analytical mind with exceptional problem-solving ability - Genuine interest in dissecting complex financial systems and market behavior - Reliability and consistency in executing work at high standards - Clear communicator who collaborates well with traders, engineers and peers - Prior exposure to startups or high-frequency trading environments is valued What the role involves: - Conducting rigorous statistical analysis on market data to test hypotheses - Debugging and optimizing trading models for performance and accuracy - Reviewing code and research output for correctness before deployment - Translating business requirements from traders into technical specifications - Writing documentation and presenting findings to non-technical stakeholders