About the Role
Kelly Road Capital is a leading private investment firm, seeking a talented and motivated Technology/Quant Developer to join our Investment Research team. As a Technology/Quant Developer, you will play a crucial role in developing and maintaining cutting-edge technology solutions to support our quantitative research and trading activities. You will work closely with our quantitative analysts and traders to implement robust systems and tools that enhance our investment strategies.
Responsibilities
Collaborate with quantitative analysts and traders to design and develop proprietary trading systems, algorithms, and quantitative models
Build, test, and optimize trading infrastructure and execution platforms to ensure efficient and reliable trading operations
Develop data analysis and visualization tools to support quantitative research and investment decision-making processes
Implement risk management systems and tools to monitor and control trading exposures
Work on data integration and processing pipelines to handle large-scale financial datasets
Conduct performance analysis and optimization of trading algorithms and strategies
Stay updated with emerging technologies, industry trends, and best practices in quantitative finance and trading technology
Requirements
Bachelor's or Master's degree in computer science, engineering, mathematics, or a related field
Strong programming skills in languages such as Python, C++, or Java
Experience with data analysis and visualization libraries (e.g., pandas, NumPy, Matplotlib)
Familiarity with database systems and query languages (e.g., SQL)
Knowledge of software development methodologies and version control systems (e.g., Git)
Understanding of financial markets, trading concepts, and quantitative research techniques
Strong problem-solving and analytical skills, with the ability to translate complex requirements into practical solutions
Excellent communication and teamwork skills, with the ability to collaborate effectively with quantitative analysts and traders
Passion for technology and a keen interest in quantitative finance and trading