Quantitative analyst III / Data Scientist

A large financial Service Company based in Johannesburg seeks a Quantitative analyst III / Data Scientist with:

 Minimum Requirements

  • 2-5 years of experience with market research and statistical analysis in a business, market research or social science environment without a Master’s Degree
  •  1-2 years’ experience with an honors or Master’s Degree or Ph.D. in statistics, math, economics, market research or related field.
  • Experience with R, SPSS, or SAS
  • Experience in explaining and performing a variety of statistical and data mining techniques including: multivariate and logistic regressions, decision trees, and factor analysis.
  • Must be able to discuss technical issues with a non-technical audience
  • Must thrive in a fast paced environment and be able to work independently
  • Strong interpersonal and communication skills are a must.

 

Role Purpose:

The advanced analytics business unit in the retail banking segment is mandated to drive strategic initiatives aimed at taking advantage of innovations in data and advanced analytic technologies to enable a data-insight-driven business strategy.  This unit in collaboration with different IT partners and product areas are changing COMPANY’s way of working by embracing agile analytical methodologies to derive and deliver value from big data. We are looking for a talented quantitative analyst/data scientist to partner with our business data analyst/scientist community to develop and refine use cases that will leverage big data and advanced analytic capabilities.  By leveraging innovative methods, both internal and external data at COMPANY, as well as available technologies, we aim to enhance our customer experience by improving personalized marketing, proactive fraud prevention and proactive continuous risk management.  The successful candidate will foster a strong partnership between the business community and our technologists that leads to increased leverage of our advanced analytic capabilities to enable success. The candidate will directly report to the head of the advanced analytics business unit.

Responsibilities:

  • You will interface with our business partners in decision management functions to mature use cases, identify solutions and help implement solutions iteratively using innovative methodologies
  • You will engage within the technology organization to integrate and embed analytic capabilities to enhance products and customer experience
  • You will partner with engineers, architects and the Business Intelligence areas to assemble capabilities into platforms that can address a variety of analytical needs
  • You will represent yourself as an expert, but equally rely on others to support you as a team
  • Serve as mentor and coach to junior resources and other teams
  • Apply deep analytical skills to explore complex datasets to aid in knowledge discovery and predictive modeling activities
  • Assist business data analytics teams in developing tools, metrics, and systems to analyze large-scale internal and external data to identify opportunities to improve product offering and marketing
  • Maintain knowledge of emerging trends related to analytics, data management, statistical computing/machine learning, business intelligence, data visualization, etc.
  • Manage the development and execution of predictive analytics and machine learning models for a variety of applications, from predicting customer behavior to creating recommendation engines for the marketplace
  • Design, coordinate, and implement analytical business and technology solutions to support business strategy
  • Drive the day-to-day implementation of the analytical strategy
  • Determine data needed to be collected and the appropriate data resources for specific projects
  • Keep abreast of new and current statistical and market research techniques.

For more information please contact Sinisa 011 234 0388, alternatively email your updated CV to Sinisa@esmartgroup.co.za

If you do not receive a response within 2 weeks please consider your application declined.

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