Analytics Head Job in Johannesburg

April 10, 2024
R60000 - R70000 / month
Urgent
Application deadline closed.

Job Description

Analytics Head Job. In the dynamic landscape of data-driven decision-making, the role of an Analytics Head emerges as a cornerstone of strategic direction and operational efficiency within organizations. Tasked with overseeing the comprehensive analytics framework, the Analytics Head assumes a pivotal leadership position in harnessing the power of data to drive informed business decisions. With a wealth of experience and expertise in statistical analysis, predictive modeling, and data visualization techniques, they spearhead initiatives to extract actionable insights from complex datasets. By collaborating closely with cross-functional teams, the Analytics Head guides the development and implementation of innovative analytical solutions tailored to address organizational objectives and challenges. Their visionary leadership and analytical acumen not only optimize processes but also pave the way for sustained growth and competitive advantage in today’s data-driven landscape.

Responsibilities of Analytics Head Job

  • Leverage credit knowledge to guide acquisitions and collections counterparts.
  • Report income statement impacts to senior forums with supporting portfolio health information.
  • Guide executive stakeholders on a prudent approach to risk decisions.
  • Support CFO on Income Statement reporting and customer profitability.
  • Led a high-performance team of senior and junior quantitative analysts.
  • Ensure key regulatory governance is in place and well monitored.
  • Ensure models are fit for use by working with the model development team to ensure certainty is given to provision and capital requirements.
  • Engage and collaborate across risk areas in retail credit.
  • Manage Limit appropriateness for at-risk customers.
  • Model portfolio expectations for budget setting.

Requirements

  • Have 5 to 8 years of retail credit experience (Acquisitions or Capital/Provisions Modeling).
  • Have strong SAS capability.
  • Have presentation/communication skills.
  • Have 5+ years of experience as a Data Scientist.
  • Have 3-4 years ideally at senior management.

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