Qualification & Experience

• Bachelor’s degree and Master's Degree in computer science, Engineering, or related field
  
• Practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization.
  
• 10 + years working experience as a data scientist or business data analyst, preferably in the financial services industry with at least 2 years of leadership experience.
  
• Must possess relevant professional qualifications.
  

• Develop programming in Python, SAS, SQL or similar analytical development tools
  
• Maintain knowledge in statistics, mathematics and/or comparable quantitative area of expertise
  
• Responsible for collaborating with analysts to facilitate the development and application of advanced analytic strategies and tactics
  
• Ascertain and apply strategies to identified business problems and existing organizational processes in order to provide leaders with insightful resources for decision-making and to increase sales, profit, market share, and achieve enterprise goals
  
• Establish parameters of ad hoc analyses by setting appropriate timeline and work quality guidelines
  
• Develop timely, innovative, and objective analysis which leads to fact-based solutions for strategic business issues
  
• Assist in the development of the problem definition and hypothesis formulation process as it relates to the specific business environment
  
• Conduct analyses, formulate insights, and summarize and synthesize findings for presentation to line of business management