Quantitative Analyst

• Provide support to Group Finance by bringing advanced analytics approaches to financial portfolio performance and reporting.
• Assist in idea generation of new advanced analytical initiatives and formalize a prioritized delivery roadmap for portfolio financial performance analytics and reporting.
• Ensure a strong discipline for model library development to enable scalability and re usability of predictive models to other portfolio performance analytics business use cases.
  

What Will You Bring

• Advanced Degree (e.g., Computer Science, Statistics, Mathematics, Engineering).
• 5+ years of applied data science advanced quantitative analytics delivering commercial impact.
• Proficiency in Data Science toolsets including Python/R, Jupyter Notebooks required.
• Multivariate stat-modelling including clustering, factor analysis, time-series Bayesian methods.
• Machine learning techniques including Random Forest, KNN, SVM and regularization.
• Machine learning engineering / software development expertise is considered an advantage.
• Proficiency in advanced analytics & M/L technologies like SnowPark, Pytorch.
• Data modeling expertise and exposure to data modelling tools (e.g., Erwin).
• Portfolio performance and reporting experience.
• Strong business domain knowledge – including understanding of portfolio reporting.
• Problem solving skills - ability to translate business challenges to a relevant data science problem.
• Excellent communication skills – an ability to explain complex analytical concepts
• Curiosity and courage in taking on challenging business and technical problems.