Jobs at Discovery Limited

Job Description

• Supporting the risk management function in the Discovery Connect Distribution Services business by delivering against and facilitating the risk management programme and activities.

Key Outputs

The successful individual will be required to perform on, but not limited to the following key outputs:

• Create risk reports and ensure consistent delivery of the risk reporting requirements for the Discovery Connect business
• Stakeholder management - ensuring the accurate reporting of risk exposures within the various business functional units through regular formal engagement with management.
• Embedding and implementation of the ERM Policies, Frameworks, Standards and Guidelines into the business and ensuring that requirements are met.
• Ensure that risk management activities required by the business and other Group Wide Policies, Frameworks and Standards are performed and delivered on.
• Ensure risk and controls assessments are performed on risks identified / reported
• Monitor and report all material risks and risk information is reported to the relevant Excos/Committees/Management forums/ stakeholders.
• Risk Exco’s: Draft risk report for the Risk Exco, facilitate and manage the process of reviewing the risk information with relevant stakeholders such as the CEO of the Business and 2nd line risk management function, prepare Risk Exco pack along with minutes and Agenda items.
• Attestations: Perform and facilitate the process on completion of attestations when required
• Ensure follow ups with management/relevant stakeholders where required, such as open action plans, breached KRIs, risk incidents, risks are performed, and risks are reassessed where required
• Develop, monitor and report on key risk indicators on a regular basis.
• Ensure that risk events are reported on and provide a detailed analysis of the event including the qualitative and quantitative impact.
• Manage and maintain the risk profiles of the Discovery Connect businesses to ensure the information on the profiles are up-to-date, relevant and an accurate representation of the business environment. This includes that management and maintenance of the risk information on the risk management system
• Performing risk assessments as required by the risk management plan.
• Support and assist the Head of Operations in drafting, implementing and delivering of the Risk Management plan for Discovery Connect licence business.
• Providing technical risk management support in business meetings, and risk reviews.
• Promote a strong risk management culture within the business through engagement, challenge of risk information.
• Supporting and guiding staff.

Personal attributes and skills

The successful individual will be required to demonstrate the following competencies:

• Ensures accountability
• Manages complexity
• Resilient
• Values differences
• Business insight
• treat others with care, dignity and respect
• build an environment for optimal performance
• have a bias for action
• Drives Results
• Problem Solver

Qualification & Experience

Essential

• Matric
• Qualification - BCom, BSc (Risk Management or Finance)
• At least 5 – 8 years Operational Risk Management, Insurance/Financial Risk Management.

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Key Purpose

• This ML Engineer is responsible for designing, building, managing, and continuously improving the operational processes that support the deployment and maintenance of actuarial, machine learning, and other decision-support models. The role involves end-to-end project planning, cross-functional collaboration with actuarial, data science, analytics, and business teams, and delivering insights into process efficiency across business areas. It also includes reporting on the design, progress, and performance of models and related business processes to drive operational excellence and informed decision-making.

Areas of responsibility may include but are not limited to 

• Design and create implementation and testing processes for models in both a traditional and ML framework to ensure business decisions can be actioned quickly and effectively.
• Assist with the design and integration of traditional models and processes into cloud-based platforms like DataBricks to utilise additional functions and better performance.
• Responsible for deploying rating and logic engines using proprietary software, ensuring accurate implementation and seamless integration into production environments.
• Project planning and collaboration with actuarial, data science, underwriting, operational and system teams to ensure a smooth implementation process that reduces risks and achieves the required outcomes.
• Frequent monitoring and reporting on the progress and performance of existing models and processes, as well as presenting the design for new processes to upper management.
• Creation of automated processes and reports to reduce manual intervention and flag any areas of concern as they arise.
• Assessment of the efficiency and effectiveness of business processes through data analytics to identify any areas for improvement or cost savings.
• Implementation of pricing changes in existing models on a frequent basis, to ensure that changes in our pricing structure and strategies can be quickly actioned.
• Creation of new tools and processes that can be used to reduce manual intervention and turnaround time of our client support teams.

Skills and Knowledge:

• Modelling skills preferred (Basic)
• Programming Skills: SQL, Python (Intermediate)
• Microsoft Office (Excel, PowerPoint and Word) (Advanced)

Education and Experience

 Education:

• Matric (Essential)
• Honours degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Data Science (Essential)
• Min 3-5 completed CT subjects if Actuarial Degree (Advantageous)

 Minimum Experience:              

• At least 1-3 years’ experience within a data driven industry
• Experience with Databricks
• Experience with Azure ML solutions
• Experience with WTW Software (e.g., Radar Live) (advantageous)

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• Virtual Advisors serve as trusted and professional representatives of Discovery Connect. Success in this role is driven by the ability to build strong, trust-based relationships, deliver exceptional service, and consistently act in the best interest of our clients.
• Advisors are responsible for generating sales opportunities by engaging targeted Discovery Connect clients through various campaigns across the full Discovery product suite. This role requires proactive diary management, scheduling client appointments, and maintaining a robust sales pipeline. Advisors must actively seek new opportunities and provide tailored solutions that meet individual client needs.
• Professionalism is key, as Advisors conduct virtual consultations, perform comprehensive Financial Needs Analyses (FNAs), and facilitate sales across multiple product lines.

Key Outputs
The successful individual will be required to perform on, but not limited to the following key outputs:

• Achieve sales targets through participation in proactive sales and marketing initiatives / campaigns
• Maintain a professional approach to selling and manage the high networth clients efficiently
• Communicate to members via telephone, email and video-calls
• Conduct Financial Needs Analysis
• Comply with the compliance requirements
• Achieve quality targets
• Adherance to service level agreements
• Build relationships with internal departments to ensure superior service offering to clients
• Keep up-to-date with competitor product and service offerings and industry developments
• Deal with client queries and provide information on a range of sales and service issues

Personal attributes and skills
The successful individual will be required to demonstrate the following competencies:

• Self motivated
• Goal orientated
• Team Player
• Ability to perform under pressure
• Adaptable to change
• Persuasive and resilient
• Self managed with sound time management
• Attention to detail
• Ability to learn quickly and apply knowledge
• Speak fluently (accent neutral) English/Afrikaans

Qualification & Experience

• Matric
• At least 2 years sales experience
• Minimum 1 year Discovery Life product knowledge
• Minimum 1 year Discovery Insure product knowledge
• Minimum 1 year Discovery Health product knowledge
• Minimum 1 year Discovery Bank product knowledge
• Minimum 1 year Discovery Invest product knowledge
• PC literacy, email, word, excel (proficiency in MS Office)
• Tertiary qualification an advantage
• Essential NQF5 and RE5 qualification
• COB Qualification
• An understanding of financial planning 

Beneficial:

• Tertiary qualification, particularly a business degree (or progress towards one)
• Sound investment, life and other insurance knowledge
• Broker consulting experience in the financial services industry