Data Scientist_III

Engage in cross-functional relationships to obtain and to provide work support.

Senior Analyst with strong technical expertise in Credit Acquisitions with the ability to uplift overall analytical capability.

Optimise Credit Policy rules and strategies using PD, LGD and EAD models to balance growth, profitability and risk appetite.

Support Credit Risk Appetite Setting and governance through active participation in the Credit Risk Management forums and Policy Committees

Leading strategy change initiatives including change management in the credit assessment system.

Ensure adoption and localization of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.

Establish goals and strategies for area of accountability in collaboration with senior data analytics management.

Ensure ethical usage of information that complies to restrictions applied for privacy and sensitivity classification.

Understand and ensure implementation and adherence to Privacy business requirements,legislation and policy.

Ensure reporting of any Information Privacy Incidents and drive resolution of Privacy and Protection Audit.

Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.

Provide and use data and analytic insights to improve customer experience through a better understanding of the customers context toidentifymonetization opportunities.

Manage analytics team in the creation of high-quality analyses for all functions of the business, across area of accountability.

Create tactical plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.

Drive team performance of analytics solutions; drive and enhance data systems and streamline business processes to impact overall business results while keeping costs in check.

Analyse available data toidentifyinformation commercialization opportunities that have not been explored to address business needs and revenue options.

Ensure analyticsproductionizationin the approved First Rand architecture by translating technical data information into practical business information that addressesidentifiedneeds.

Analyse information requirements,availability and quality of data to feed into Data and information management function and forums for resolution.

Oversee the appropriate manipulationand analysis of data for to meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.

Integrate analytics into operational processes to improve efficiency and client experience.

Ensure development of core analytical capabilities or model libraries using advanced statistical,quantitative or econometric techniques.

Manage overall project dependencies management and long-term prioritization of the business's overall analytical needs and opportunities.

Serve as SME for analytics applying own understanding of the operations of the business product or service.

Define the business questions for Business unit that need be answered; define appropriate analytics modelsin addition toidentifyingand readying relevant data sources for analysis.

Address business problems and opportunities through robust underlying analytics.

Translate business requirements into tangible solutions or modelsutilizingown understanding of business value and interrelated nature of projects,modelsand processes.

Ensureaccuratedevelopment and application of analytical algorithms and methods to build,testand implement advanced mathematical models and analytical solutions that address business problem, opportunities and improve business outcomes i.e. reduced risk and costs, increased profitability, optimized efficiency and tofacilitatestrategic decision making.

Provide…