Data Modeller Sandton

Our client, a global leader in credit information and IM services, listed on the NYSE, a Top SA Employer (2022), with sound leadership in place and an ambitious growth strategy, are looking for an experienced Data Scientist / Credit Risk Modeller to  join their team. This is an employer with a superb Employee Value Proposition, offering global alignment and Africa growth exposure   In this role, You will:- * Collaborate with cross-functional teams and external partners both locally and internationally to drive the design and development of analytical products and solutions for the business. * Lead, provide guidance and contribute SME  in projects involving descriptive, predictive, and prescriptive analysis – leveraging a variety of advanced tools and techniques. * Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience. * Foster a high performance culture and cultivate an environment that promotes excellence and reflects the company brand * Honors, Master’s or PhD degree in statistics, applied mathematics, computer science, engineering, or another highly quantitative field. A track record of academic excellence. * At least three (4) years of professional experience with analytic projects in Financial Services, Telecommunications, Insurance or related industries. * Multiple examples of demonstrated success in internal and external client-facing analytical roles over a period of at least three (3) years. * Strong written a verbal communication skills: ability to clearly articulate ideas to both technical and non-technical audiences, strong presentation skills with comfort presenting to multiple levels within the organisation. * Strong analytical, critical thinking, and creative problem solving skills. * Mastery of a statistical programming languages such as R, and SAS; proficiency with Microsoft Office tools. *Preferred Requirement: * * Experience using other statistical programming languages such as Python, SQL and Hive * Experience and familiarity with analytical consulting preferred. * Experience working with credit bureau data and solutions preferred.