Job Description
To implement the Analytics standards across big complex business areas, that contribute to the monetisation of data through the development and delivery of advanced mathematical models and business principles that find hidden patterns and associations in data used to influence business strategy, inform channel design and make predictions on the behaviour of our clients.
- Model and assist with driving a data driven culture that values data as an asset with business value.
- Lead relevant change and communications functions to drive functional maturity.
- Ensure adoption and localization of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.
- Manage leveraging of analytics to influence and improve customer experiences, operational processes and solution design across areas.
- Establish goals and strategies for area of accountability across areas of accountability.
- 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.
- Ensure usage data and analytic insights to improve customer experience through a better understanding of the customers context to identify monetization opportunities.
- Manage analytics function in the creation of high-quality analyses for all functions of the business, across multiple areas and sources.
- 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 functional performance of analytics solutions; drive and enhance data systems and streamline business processes to impact overall business results while keeping costs in check.
- Analyze available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.
- Ensure analytics product ionization in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs.
- Analyze information requirements, availability, and quality of data to feed into Data and information management function and forums for resolution.
Minimum Qualifications
- Bachelor’s Degree/ Postgraduate and Honors Data Science, Computer Science, Statistics, or Mathematics or a related field.
- MSc or PhD in Data Science, Computer Science, Statistics, or Mathematics an added advantage.
- Certification in AWS/GCP/Azure Data Certifications, SAS, CFA an added advantage
Experience
- 5 –8 + years of progressive experience in Data Science or Analytics.
- At least 3–5 years in a leadership role, preferably within the financial services or regulated industries.
Competencies - Excellent communication and interpersonal skills
- Strategic thinking and Innovation
- Problem solving and adaptability
- Strategic Vision & Business Acumen
- Advanced Technical Expertise
- Proficiency in Python, R, SQL, Spark, Hadoop, and cloud platforms (AWS, Azure, GCP).
- Leadership & Stakeholder Management
- Data Governance & Ethics
- Ability to translate complex data insights into actionable business strategies.
#Post
#FNB
#LI-SM11
Job Details
Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.
11/11/25
All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.