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Data Scientist_III

Job in Johannesburg, 2000, South Africa
Listing for: RMB Nigeria Limited
Full Time position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Job Description & How to Apply Below
#
** Job Description
** Hello Data Science III.
Welcome to FNB, the home of the #changeables. We design for the shapeshifters and the game changers. As part of our talent team at FNB Loans, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts come together and ignite effective change.
We're looking for a seasoned Data Scientis to revolutionize our data utilization. You'll be responsible for building, optimizing, and implementing innovative quantitative analytical methodologies, procedures, products, and advanced mathematical models for our Business Pricing Model. You'll provide analytical support and interpret insights to address business opportunities and problems and implement business strategy with minimal guidance. You'll manage an analytics team, streamline processes, and ensure compliance with privacy requirements.

Your role includes integrating analytics into operations, developing core capabilities, and driving performance. Join us to lead data-driven strategies and enhance our business outcomes.
** Role Responsibilities
** To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.
** Are You Someone Who Can
**** Model Development & Analytics Governance
*** Innovate by finding the best-fit solution for each situation, including flexible delivery and customized solutions that lead to more efficient outcomes.
* Provide input into the localization of model-building policies, standards, frameworks, and governance processes.
* Adhere to model-building policies, standards, frameworks, and governance processes.
* Maintain ownership of models through regular audits and updates to ensure relevance and accuracy.
* Plan and perform regular model updates to reflect evolving business complexity.
* Challenge and test current models to ensure relevance and accuracy of outputs.
** Privacy, Ethics & Compliance
*** Ensure ethical usage of information in compliance with privacy and sensitivity classifications.
* Understand and implement Privacy business requirements, legislation, and policy.
* Report Information Privacy Incidents and escalate appropriately for resolution of audit findings, complaints, investigations, and assessments.
* Take necessary actions to ensure compliance with statutory, legislative, policy, and governance requirements.
* Implement and provide input into governance and compliance procedures and processes.
* Maintain expert knowledge of legislative amendments, industry best practices, and internal compliance procedures.
* Ensure systems and procedures comply with business standards.
** Data Analysis & Commercialisation
*** Create delivery plans in collaboration with stakeholders to define metrics and track performance.
* Analyse data to identify unexplored commercialisation opportunities aligned with business needs and revenue options.
* Translate technical data into practical business information using approved First Rand architecture.
* Analyse information requirements, data availability, and quality to support management decisions.
* Conduct data manipulation and analysis to proactively meet business needs and ensure high-quality, reliable information.
** Advanced Modelling & Machine Learning
*** Develop core analytical capabilities and model libraries using advanced statistical, quantitative, or econometric techniques.
* Build models to analyse processes and recommend optimisation for cost savings, revenue generation, or efficiency improvements.
* Document and implement models to address specific business requirements.
* Apply statistical techniques to support decision-making and experiment design.
* Use mathematical concepts (e.g., multivariable calculus, linear algebra) to improve predictive performance and algorithm optimisation.
* Implement machine learning algorithms and automation using open-source…
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