Head of Business Intelligence

2 weeks ago

Johannesburg, Gauteng, South Africa LENOHLAHLA CONSULTING Full time

Responsibilities:

Duties and responsibilities include but not limited to;

Operational delivery

Underwriting risk profile intelligence:
Identify, track and report on the key risks affecting the Clients underwriting risk profile.
Lead team and/or work with suitable industry experts (such as consultants, academics, NGOs, international
counterparts, etc) to perform research and analysis to identify economic, political, socio-economic, legal and
other risk metrics.
Maintain a database of events that may/do give rise to claims under Clients defined perils. This includes
working with other departments (such as underwriting and claims) as well as suitable external parties (eg
SAPS, NGOs, social media companies) to develop intelligence to identify and profile events.
Track and report on trends in key risk metrics through the publication of weekly/monthly dashboards, internal memos and reports for Executive and other managers of the business

Catastrophe model:
Develop, maintain and manage the Clients catastrophe model.
Lead team and/or work with suitable industry experts (such as consultants, academics, NGOs, international
counterparts, etc) to perform research and analysis (and/or work with suitable industry experts such as consultants, academics, NGOs, etc) to develop suitable catastrophe model(s), which can be used for pricing,
reinsurance purchase and optimization, underwriting, strategy development, investment strategy, risk mitigation, etc.
Determine realistic disaster scenarios (RDS) to be modelled for the purpose of determining the Clients likely
catastrophe exposure.

Probable Maximum Loss (PML) studies: Develop, maintain and manage Clients PML studies.
Lead team and/or work with suitable industry experts (such as consultants, academics, NGOs, international
counterparts, etc) to perform PML studies for the purpose of Clients reinsurance and capital optimization
strategies.
Provide a report on the PML study use by internal (actuarial, underwriting, reinsurance, etc) and external
stakeholders (reinsurance broker, reinsurers, regulator, etc).

Ensure appropriate documentation is kept for internal needs as well as those of external stakeholders (external auditors, actuarial control function and regulators).


Risk Mitigation

Work with stakeholders in the Client, including Underwriting, Claims and SMD, to identify "hot-spots" for the Clients underwriting risk exposure and to develop practical risk mitigation strategies to reduce the incidence of loss events and/or minimize severity from loss events.

Examples include the identification of high-risk transit routes along the SA road network; locations within the country that consistently "flare up" following specified events (eg local government elections,university/school
registration, etc).

Risk Analytics
Assist the broader business with reports and analytics, as may be required from time to time.

Examples may include the development of models to validate claims against a register of potential loss events, identification of multi-claimants, fraud analytics, etc.


Data Collection and Management

  • Work closely with IT and BCT to ensure that suitable technological and data management solutions are in
place to support Clients current and future data and analytics needs.

Business focused and collaboration
***Contribute to the successful achievement of the Clients vision, strategy and business plan, by assisting with the resolution of problems that pose a threat to the Company of not achieving its vision, strategy and business plan.

Strategic Involvement
***Contribute to the creation the Clientss long term strategy and short term business plan.

Shaping Clients risk culture by setting the tone from the top not only through words but actions and reinforcing commitment.


People focus
Managing own career by being accountable for ones behaviour, performance and development.
Managing individual and team performance to achieve individual and organization goals and objectives.

Qualifications
Suitable university graduate degree (actuarial, data science, statistics,
mathematics, econometrics)

CERA qualification, or similar, will be advantageous

Experience
Minimum of 3 to 6 years experience in a similar (risk or actuarial) position

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