Job Opportunities at Outsource Africa

Job Details

• Design and implement an overall risk management process for the Agency
• Explore and analyze Agency key performance indicators/metrics and identify risk trends to be incorporated into Agency’s risk register
• Gather risk-related data from internal and external resources and conduct analyses to identify, validate, and report emerging risks for consideration and follow-up
• Facilitate risk workshops in order to evaluate and quantify risks and develop appropriate risk mitigation strategies and action plans
• Conduct reviews to assess control environments to help develop additional controls and audit programs to assist with the execution of risk mitigations plans
• Educate and train other units in the concepts and international best practices of ERM in order to promote risk awareness and effective risk management within the Agency.
• Create business continuity plans to limit risks
• Prepare and collate monthly risk reporting to the Actuarial Manager Risk and Regulation Compliance.
• Conduct policy and compliance audits, which will include liaising with internal and external auditors and facilitate review of ERM program for verification and certification purposes.
• Liaise closely with the other departments in order to ensure proper escalation of business area risks to the Agency risk register
• Prepare, maintain and communicate detailed risk management policies and processes including the risk control self-assessment process
• Assist in the annual review of the risk management policy in preparation for Board sign off, communicating amendments to business areas as required
• Monitoring the implementation of action plans to address key risks on the risk and control self-assessments/risk registers.
• Prepare regular compliance reports

go to method of application »

Location - Lagos

Salary - N450K

• Responsible for transforming every unit of the Agency into a data-driven organization. You will play a crucial role in translating our data into insights & helping us leverage the data to identify opportunities for product improvements, spot trends, as well as recognize potential issues and offer solutions.
• Gather and integrate data from various sources, such as claims, medical records, customer databases, and external sources.
• Work with different units to identify data analytics needs for the different business units
• Perform exploratory data analysis to uncover trends, patterns, cost drivers and conduct statistical analysis and hypothesis testing to identify factors affecting utilization and outcomes.
• Perform data profiling to identify anomalies
• Develop models to predict claim costs and assess the impact of different policy provisions.
• Ensure data quality by cleaning, preprocessing, and transforming data for Actuarial analysis.
• Develop predictive models to assess the risk associated with different insured groups and sub-groups.
• Build actuarial models to estimate premiums, loss ratios, and reserves. This function would be done with the Actuarial Unit.
• Use data analytics to improve customer experience by personalizing insurance offerings, optimizing communication, and providing recommendations for wellness programs
• Create fraud detection models and algorithms to detect and prevent fraudulent claims, such as billing irregularities and false claims.
• Segment policyholders data based on demographics, health conditions, and other factors to tailor insurance offerings and marketing strategies.
• Analyse customer behaviour to improve retention and cross-selling opportunities.
• Create models to manage and mitigate health insurance risks, including reserve estimation, reinsurance decisions, and risk adjustment strategies.
• Analyse healthcare utilization patterns to optimize network design, provider contracts, and benefit design.
• Create reports and dashboards that provide insights into key performance indicators, claims trends, and business metrics for management including Monitoring & Evaluation unit and the Actuarial unit.
• Ensure that data analysis and modelling activities comply with industry regulations and standards.
• Promote a data culture within the Agency
• Continuously evaluate and refine data models and analytics processes to enhance accuracy and efficiency