Head Uw Analytics

2 weeks ago

Cape Town, Western Cape, South Africa Project Management Connection Full time

Requirements:

The unit within at our Client needs to meet its growth and profitability targets. Key to any decision making in this regard is their data, management information and resultant underwriting and actuarial analytics.

The tracking and monitoring of our actions and resultant analyses are critical to ensure the profitability, growth and ongoing sustainability of our portfolio.

This role is responsible for these functions within the unit.

Key Accountabilities and Responsibilities:

  • Contribute, as member of the unit's Underwriting management team, to the development, implementation, and execution of the Commercial and Personal Lines underwriting strategies and priorities.
  • Shared responsibility for delivery of current and future strategic underwriting projects.
  • Shared responsibility for the setting and achievement of CL and PL growth and profit targets with all distribution channels through proactive trend analysis.
  • Deliver monthly growth and profit driver reporting, statistics and analytics
  • Continually Identify new areas of concern with regards to profitability and concentration of risk.
  • Continually identify opportunities for profitable growth.
  • Prioritise appropriate corrective actions to address growth and profit deviations.
  • Liaise with Actuarial & Product Management on the Company's Commercial and Personal Lines pricing
- and product strategy and maintenance of product range to remain competitive.

  • Provide data insights to team and executives and develop commercially viable solutions and drive various process automations and efficiencies.
  • Contribute to new business model development and enable delivery thereof from a pricing and underwriting perspective.
  • Manage relationship with internal and external business partners provide pricing and underwriting insights and expertise where required.
  • Lead a team of underwriting data analysts.
  • Analyse and build statistical models for various sets of data on a regular basis to assist in determining business trends. This includes forecasting models.
  • Predictive Underwriting model design and implementation.
  • Data quality control and data management.
  • Develop and extend the Company's Data analytics capability.
  • Create and maintain business reports to direct thought processes that drives action.
  • Automate reporting as required.

Qualifications and Experience:

  • Bachelor's Degree applicable major preferred (Actuarial/Statistics/Applied Maths).
  • Minimum of 10 years strong Data Analysis & Management experience is required.
  • Minimum 5 years' experience in insurance products, systems and data management.
  • Minimum 58 years' experience operating at a management level.
  • Insurancerelated qualifications, such as AIISA/FIISA, recommended but not required.
  • Post graduate degree in computational science, e.g. Mathematics, Statistics, Actuarial, Data Science recommended
  • Experience in leading and managing a team of specialists
  • Experience working with client administration systems and data warehousing
  • Strong commercial acumen and experience with change management and / or organizational change processes

Knowledge of:

  • Shortterm insurance industry knowledge
  • Underwriting and financial concepts
  • Knowledge of Commercial and Personal Lines pricing and underwriting systems

Skills:

  • Analytical skills (knowledge and experience)
  • Financial and Commercial acumen
  • Excellent people skills (relationship management)
  • Excellent communication, influencing and relationship building skills
  • Excellent multilevel task management and organisation skills
  • Logical, analytical and business problem framing ability
  • Selfstarter, problem solver and finisher
  • Good report writing and presentation skills
  • Ability to engage with people from all parts of the organisation
  • General understanding of the shortterm insurance environment
  • Independent minded individual
  • Planning and organising skills

The following skills are also recommended:

  • Advanced coding skills in one or more of the following: SAS, SQL, Java, R, Python, etc.
  • Strong modelling skills including experience in performing statistical investigations and building pricing / predictive / machine learning models
  • Strong data management skills

Competencies:

  • Analysing information
  • Problem solving
  • Developing and implementing strategy
  • Adapting to changing circumstances
  • Performing under pressure
  • Enterprising and commercial thinking
  • Deciding and initiating action
  • Leadership
  • Building networks and good relations
  • Negotiating and achieving workable solutions
  • Achieving personal work goals and objectives
  • Attention to detail
  • Collaborates
  • Client focus
  • Drives results
  • Flexibility and adaptability
  • Cultivates Innovation

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