Pricing Manager: Motorite Pricing Analytics at FNB South Africa

Purpose:

To plan, build, optimise and implement innovative quantitative analytics 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.

Responsibilities

• Prevent wastage and identify process improvements to contain and reduce costs
• Assess own performance through seeking timely and clear feedback and request training where appropriate
• Utilise, refine and enhance advanced statistical models and data analysis to inform decision making and address business needs
• Develop and implement advanced statistical models and data analysis to optimise processes, inform strategic decisions and meet current and future business requirements, reduce risk and generate profits
• Deliver value add outputs across the analytics value chain in delivery of business strategy
• Implement localised Analytics strategy to address business needs
• Utilise advanced analytics technologies, program own statistical model and apply advanced data modelling methodologies that inform future fit strategic decisions and test current assumptions
• Develop, encourage and nurture collaborative relationships within FNB and/or across the FRG
• Develop new insights into situations and apply innovative solutions to make organisational improvements
• Focus on providing optimal services and improving service delivery and service delivery processes to meet or exceed customer expectations
• Contribute to the development of a budget aligned to operational delivery plans, monitor effectiveness and report on variances
• Ensure compliance to legislative and audit requirements and adherence to relevant processes
• Build working relationships across teams and functional lines to enhance work delivery, collaboration and innovation

Role Requirements

• Strong Actuarial background within the Insurance sector preferred
• Completion of all C level Actuarial exams are a must have
• Prior leadership of projects and/or people will be preferred

In accordance with the National Credit Act (NCA) candidates' applying for this role will require a credit record check.

Qualifications and Experience:

• Minimum Qualification: B Degree in Mathematical Sciences, Statistics, Actuarial Science
• Preferred Qualification: Honours Degree
• Experience: 3 - 5 years' experience in a data environment, of which 1 - 2 years' ideally at a junior (entry level) management level
• Additional Knowledge: Deep domain knowledge with regards to Financial Services: Credit, Pricing, CVM, Marking, Trading etc...