Hong KongSalary NegotiableLocation Hong KongFULL TIMEConsultant Eddie WangLeading financial services group is undergoing digital transformation and seeking experienced data scientist to join their dedicated team to automate business processes and create Alpha opportunities.
Responsibilities : Design algorithms, build models, and prototype solutions for multiple projects.Work closely with infrastructure providers to translate prototypes into production solutions.
Use machine learning and large-scale data mining techniques to discover and identify actionable patterns in data and develop hypotheses and modelsDesign hypothesis tests, oversee execution, and perform rigorous statistical evaluation of the results to produce actionable insightsManage stakeholders and guide them in unlocking the value in their dataUse a scientific method and strive for positive results at all times, balanced with working in an Agile’ way to achieve rapid turnaround.
Travel will be involved infrequentlyRequirements : Strong academic background with a Masters in Computer Science, Mathematics or other quantitative fieldsPhD preferredHands-
on experience in the research, design and evaluation of machine learning approaches (regression, clustering, SVM, neural networks and dimensionality reduction techniques) to solve real world problems.
with familiarity in ML packages such as Tensorflow, PyTorch etc.Hands-on experience in Big Data analysis platform such as Apache Spark and experience of semantic queries and Graph data modelsAbility to write clean, scalable, production-
ready code.Ability to communicate technical concepts and results to a non-technical audience and a keen interest in understanding business requirementsUnderstanding of Equities, Fixed Income, FX and Commodities products is preferredInquisitive nature with an eagerness to investigate and fully understand products, processes and issues.
Level fitment will be based on candidates' relevant experience and qualificationGet in touchEddie Wang+852 21035341eddie.wang robertwalters.com.hk