Data Scientist_III

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 languages like SAS or Python.

Utilise predictive modelling to forecast outcomes and challenge key assumptions.

Conduct text analytics to extract insights from unstructured data.

Apply data wrangling principles to identify and correct data quality issues.

Build and program statistical models for application development and productionisation.

Utilise pattern recognition and deep learning techniques in machine learning research.

Collaboration & Stakeholder Engagement

Collaborate across departments to ensure proper use of data and delivery of operational results.

Participate in projects addressing analytical needs and opportunities.

Serve as a subject matter expert (SME) for analytics, applying business product/service knowledge.

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

Build and sustain collaborative relationships with peers and stakeholders.

Participate in communities of practice and…