Quant Trader - Singapore - Eka Finance

Description

• Your core objective is to create high quality predictive signalsBy leveraging access to large and diversified datasets you will identify statistical patterns and opportunitiesShare and discuss research results, methodology, data sets and processes with other researchersImplement the signals and the relevant datasets within the global execution platformMonitor signal behaviour and model performance over timeYou would lead the full strategy research cycle from signal generation to implementation

• Min 4 years of relevant experienceAdvanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineeringStrong knowledge in statistics, machine learning, NLP or AI techniques is a plusCapacity to multi task in a fast paced environment while keeping strong attention to detailCoding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#)Experience in exploring large datasets across multiple time frames is a plusIntellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fieldsCapacity to work with autonomy within a collegial and collaborative environmentStrong capacity to communicate with technologists, data scientists and traders across the globeProven track record in delivering successful systematic strategies