What are the responsibilities and job description for the Quantitative Researcher position at CaaS Capital Management?
CaaS Capital Management is seeking a talented and driven quantitative researcher to join our dynamic equity and derivatives investment team. As a quant researcher, you will collaborate closely with our CIO and traders to uncover new alpha opportunities and enhance existing strategies.
We are searching for candidates who possess a deep passion for the financial markets. Successful quant researchers not only exhibit strong technical skills, but also possess an innate curiosity to continuously expand their knowledge and understand human behavior. Adaptability to the rapidly evolving world and industry is crucial, as we value individuals who actively seek out new skills and embrace the exploration of uncharted possibilities.
Join our close-knit team of young and dedicated quants who thrive on solving complex problems. We maintain a fast project turnover rate, fostering seamless communication within the team. Upon joining us, you will experience direct daily engagement with our leadership, allowing you to quickly take ownership and responsibility for your ideas. From the initial stages of idea generation to the final trading process, you will be involved in the entire pipeline, ensuring a steep learning curve and providing you with comprehensive exposure to the industry. Our colleagues are genuinely sincere and willing to share their knowledge, and your performance evaluations will be based solely on the quality of your deliverables.
Responsibilities:
· Work closely with CIO to develop models and analytics that directly impact trading decisions
· Create and maintain tools for analyzing and monitoring trading activities
· Explore different data sources and analytics packages in developing investment strategies
· Provide high level technical and investment analytics support to trading functions
· Build infrastructures for automating and optimizing operational tasks
Requirements:
· 1-5 years of experience in financial industry
· Bachelor, Master or Ph.D. degree in a quantitative field
· Proficient in Python, SQL, UNIX/Linux and shell scripting
· Great attention to detail