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  • Posted: Dec 13, 2023
    Deadline: Not specified
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    Imagine a world where people live healthier, more enhanced and protected lives… A world in which each organisation is a powerful influencer and responsible corporate citizen, committed to being a force for social good. As a leading innovator in healthcare, wellness, insurance, investments, financial and life planning, Discovery works ceaselessly to...
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    Compliance Officer (Discovery Connect)

    Areas of Responsibility

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

    • Review of the compliance risk management control environment across the business;
    • Assist management with identification and evaluation of compliance exposures/regulatory breaches;
    • Providing guidance to Key Individuals and Representatives to ensure compliance with legislation;
    • Assist in monitoring compliance with applicable legislation and internal requirements;
    • Compile and submit compliance report;
    • Support the sales managers in exercising their responsibility for oversight of compliance within their teams
    • Facilitate FAIS Hearings and Debarments
    • Execute all other functions related to the compliance mandate as delegated by the Compliance Manager
    • Agree detailed findings with management, and provide appropriate recommendations for management actions
    • Preparation of follow-up progress reports

    Skills and Personal Attributes

    • Detailed knowledge of local (South African) legislation relating to financial services and able to interpret and apply legislation, including, but not limited to the following: FAIS, Protection of Personal Information Act, Insurance Act.
    • Sound understanding of Compliance methodology, working knowledge of all elements comprising.
    • Writes in a well-structured and logical way – must have ability to write and review compliance policies and draft compliance guidance notes and reports with detail required to inform the business of regulatory requirements and potential impacts
    • Strong listening, organisational and communication skills and able to think in an analytical and conceptual manner.
    • Efficient time management skills, including quick turnaround time on quality work
    • Able to work well under pressure

    Education and Experience

    • Relevant tertiary education
    • Post-graduate qualification in Compliance Management (advantageous)
    • At least 3 to 5 years’ experience within a compliance environment - Financial Services Industry

    Advantageous

    • RE 1 and 5
    • Call center compliance experience

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    Head of Operations Intelligence (Discovery Health)

    Areas of responsibility may include but not limited to

    • Providing leadership, guidance and assistance to the team regarding complex machine learning and data science models so that business needs are met, and staff knowledge is improved
    • Connecting with a multitude of stakeholders to understand the data in a healthcare and operational context
    • Connecting with business to get an understanding of their processes and databases to streamline and improve them using analytics.
    • Mining large structured and unstructured datasets to find new insights to inform operational efficiency and ‘member- delight’ interaction strategies
    • Research and application of the most up to date machine learning algorithms and AI techniques
    • Present data and model findings in a way that provides actionable insights to business users
    • Ensuring the team produces analytic reports, build new models and tools for the business that assists them with the identification of areas for improvement in the member journey
    • Ensuring all models and tools built by the team are automated, fully integrated into business and the model performance is monitored
    • Presenting reviews and updates of work performed by the team to internal stakeholders
    • Presenting operations analytics strategy to operations exco members annually

    Personal Attributes and Skills

    • Experience in data science programming languages such as R, Python or Scala
    • Experience in data manipulation skills including SQL to extract, transform and load data
    • Experience in interactive data exploration and data-driven story telling
    • Hands on experience with Big Data systems will be preferred
    • Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data
    • Ability to formulate problem statements and develop a plan for tackling the problem
    • Strong ability to communicate findings and recommendations from data (visual, verbal and written)
    • Integration and implementation experience
    • A passion for data exploration and analytics and uncovering unknown correlations
    • Willing to learn and grow exponentially
    • Ability to work cohesively in a team environment and balance multiple priorities
    • High level of attention to detail, resilience, enthusiasm, energy and drive

    Education and Experience

    • Honours or Master’s degree in either Data Science, Statistics, or Applied Mathematics with some experience in software engineering, computer science or working with big disparate sets of data, OR
    • Honours or Master’s degree in Computer Science with experience in statistical modelling, data mining and machine learning
    • Other analytical qualifications will also be considered if accompanied by the relevant experience
    • A minimum of 5 years’ work experience in the analytics field with experience leading people

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    Servicing Administrator - Cape Town

    Areas of responsibility may include but not limited to

    • Processing of all daily and monthly transactional activity within agree service levels.
    • Process data comparison to prepare reconciliation of premiums to ensure that the client is applying correct rates against internal billing.
    • Liaison with both internal and external clients to ensure resolution of client queries (TWT); as per SLA
    • Responsible for entire billing process including monitor monthly billing, contributions allocation and sending statements
    • Compare bank statement against scheme batch remits to ensure the accurate allocation of payments/premiums to correct schemes.  Issue credit control where necessary.
    • Handling of general admin queries

    Personal Attributes

    • Leading and Supervising
    • Planning & Organizing skills
    • Working with People - Communication
    • Persuading and Influencing
    • Adhering to Principles and Values – Self management
    • Delivering Results and Meeting Customer Expectations
    • Coping with Pressure and Setbacks
    • Relating and Networking
    • Team work and analytical skills
    • Communication
    • Problem solving
    • Initiative and enterprise
    • Learning
    • Technology

    Education and Experience

    • Matric - essential
    • MS Office – Especially Excel Skills,
    • Group Life /Risk Insurance experience- an advantage
    • Full compliance and legislative universe relating to employee benefits, FAIS and Umbrella Funds.
    • 3 -5 years’ experience within a Group Life Administration environment- an advantage

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    Key Account Manager (Senior) | Procurement - Sandton

    Areas of responsibility may include but not limited to 

    • Responsible for relationship building with Claims Procurement partners and to maintain these relationships for the duration of the partnership with Discovery Insure
    • Regular partner engagements, including all relevant stakeholders
    • Assist partners to manage their KPA’s such as MBR scores, complaint ratio and sufficient usage of the Discovery Insure procurement portal to manage work in progress and to request payments within set timeframes.
    • Ensure that partners abide by the SLA’s.
    • Training and support on Procurement policies
    • Lead a team of intermediate Key Account Managers  

    Skills 

    • Relationship Building
    • Conflict Handling
    • Attention to detail
    • Communication
    • Assertiveness
    • Accountability
    • Short term Insurance Claims fulfillment process

    Qualification, Experience and Knowledge

    Education

    • Matric (Essential)
    • Tertiary qualification (Diploma or Degree) in related field is advantageous.

    Experience

    • 2 years senior management experience
    • 5 years experience in the motor repair industry
    • 2 years relationship management experience
    • Procurement experience
    • Towing experience

    Knowledge

    • Short term Insurance Claims fulfillment process.
    • Management experience in the motor repair industry.

    Method of Application

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