Data Scientist I

Fnb South Africa; Gauteng; On-site; ZAR 400 000 - 500 000; Full time

Job summary

A leading bank in South Africa is seeking a Data Scientist I to manage data analytics and optimize processes. The ideal candidate should have a postgraduate degree in Mathematics, Statistics, Economics, or Computer Science, along with 2–3 years of experience in quantitative analytics. Responsibilities include ensuring compliance, analyzing campaign performance, and enhancing customer experience through data insights. Join a challenging work environment that promotes innovation and continuous learning.

Benefits

Opportunities to network across a global group

Challenging work environment

Qualifications

• 2–3 years in quantitative analytics or a related domain.

Responsibilities

• Look after the automated outbound campaign engine for various campaign types.
• Maintain, improve and optimise current processes through ad-hoc investigations.
• Ensure compliance with statutory and legislative requirements.
• Use data and analytic insights to improve customer experience.
• Collaborate with departments to ensure proper use of data.

Skills

SAS

SQL

Education

Post‑graduate degree in Mathematics, Statistics, Economics or Computer Science

Job description

Overview

Data Scientist I at FNB South Africa.

FNB is a leading bank ready to innovate and drive change.

Responsibilities

• Look after the automated outbound campaign engine that handles logging and governance checks for various campaign types.
• Maintain, improve and optimise current processes; conduct ad‑hoc investigations involving outbound campaigning and inbound solutions.
• Weekend stand‑by required on a rotational basis.
• Ensure compliance with statutory, legislative, policy and governance requirements in the area of accountability; adopt relevant policies, governance and practice standards across the business.
• Maintain expert knowledge of relevant legislative amendments, industry best practices and internal compliance procedures; implement and provide input into governance and compliance procedures and processes within the area of specialisation and identify risks.
• Innovate by finding the best fit solution for the situation such as flexibility of delivery and customised solutions that result in more efficient outcomes.
• Own and maintain ownership of models through regular audits and updates to ensure relevance; challenge current models to ensure relevance and accuracy of outputs; test outputs and accuracy of models to ensure relevance.
• Use data and analytic insights to provide input into improving customer experience through a better understanding of the customer’s context to identify monetisation opportunities and monitor implementation of business decisions; recommend enhancements utilising statistical modelling and data analysis.
• Validate, interpret and create reports and presentations for data analytics management and relevant stakeholders.
• Review and assist more junior quantitative analysts with processes and models.
• Adhere to model building policies, standards, frameworks and governance process; ensure own ethical usage of information that complies with restrictions applied for privacy and sensitivity classification.
• Understand and ensure implementation and adherence to privacy business requirements, legislation and policy; report any privacy incidents and serve escalations appropriately for resolution of privacy audit findings, complaints, incidents, investigations and privacy assessments.
• Provide input into creation of delivery plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.
• Assist in analysis of available data to identify information commercialisation opportunities; assist in production and translation of analytics into practical business information that addresses identified needs.
• Analyse information requirements, availability and quality of data to feed into management for resolution.
• Contribute to development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques.
• Collaborate with numerous departments across the business to aid them in the proper use of data to ensure delivery of desired operational results.
• Participate in relevant projects related to the business’s overall analytical needs and opportunities.
• Assist as SME for analytics applying own understanding of the operations of the business product or service.
• Determine the business questions that need to be answered and determine appropriate analytics models for utilisation.
• Source and prepare relevant data sources for analysis; translate business requirements into tangible models using own understanding of the business value of projects, models and processes.
• Build and apply analytical algorithms and methods to build, test and implement robust mathematical models and analytical solutions that address business problems, opportunities and improve business outcomes.
• Build models that analyse processes to recommend areas for optimisation to achieve cost savings, revenue generation or efficiency improvements for the business.
• Document and audit relevant processes; implement models to address specific business requirements.
• Conduct appropriate manipulation and analysis of data to proactively identify and meet needs of the business and ensure high information‑quality and reliability across the business.
• Deliver within broad parameters; build relationships that allow for managing expectations, sharing knowledge and diverse insights, and create buy‑in.
• Engage in cross‑functional relationships to obtain and provide work support.
• Identify, control and escape potential risks which may lead to increased costs; manage costs or expenses within approved budget to achieve cost efficiencies; deliver against operational and cost targets.
• Prioritise resource allocation to minimise and reduce wastage; develop, encourage and nurture collaborative relationships across the FRG.
• Assess own performance through seeking timely, clear feedback and request training where appropriate.

Qualifications

• Post‑graduate degree in Mathematics, Statistics, Economics or Computer Science.
• Skills: SAS, SQL.
• Experience: 2–3 years in quantitative analytics or a related domain.

Benefits

Opportunities to network and collaborate across a large global group. Challenging work environment that encourages innovation and continuous learning.

EEO Statement

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. Candidates may disclose disability information voluntarily; the Bank will keep this information confidential unless required by law. The Bank will retain this information confidentially.

Application

All applicants will be considered for interview and recruitment opportunities in accordance with applicable laws and regulations. Interested candidates should apply before 25 / 11 / 24.

We look forward to engaging with you further. Apply now!