Jobs at Discovery Limited

Key Outputs / Job Responsibilities may include but are not limited to:

• Conducting Pre-Employment for representatives
• Compiling Viabilities for representatives after all required documentation has been received
• Analysing feedback received for Credit, Criminal, Sequestration, Qualification, World Sanction, Trust Index, Raptor, Debarment, Paradigm, CMS and FSCA checks
• Liaising with various external vendors regarding Credit / Qualification checks (MIE & FSCA)
• Communicating to business and provide feedback on Pre-Employment
• Attending to general queries and provide feedback to business
• Adding of representatives at the FSCA and on Digiboard (Onboarding)
• Removing of representatives at the FSCA and Digiboard (Resignations)
• Adding and removing of categories on Digiboard and at the FSCA
• Requesting to open/close/suspend commission code for Reps according to registrations at FSCA
• Checking and processing Supervision Sign offs
• Supervision updates
• Analysis and updating of all competency requirements on representatives
• Conduct investigations related to representatives’ profiles and provide feedback to Business
• Transfers
• Personal updates
• Updating of CMS accreditation
• Send and follow up exemption applications to the FSCA
• Ensure information and documentation on Digiboard is updated including debarment notifications, annual attestations etc
• Manage and maintain work pool to prevent cases from going out of SLA

Job / Role Requirements

Work Experience

Required

• Working experience in a financial services compliance role and understanding of legislation is preferable

Education / Qualifications / Accreditations with Professional Body

Required

• Law Degree

Preferred (would be advantageous)

• RE 5

Technical Skills or Knowledge

• Gained through formal/informal education or experience and involves the application of techniques or methodologies. Define the level of skill required for the role

Required

Skills

• Level: Basic, Intermediate, Advanced, Expert
• Strong listening and communication skills
• Work independently and as part of a team when required
• Support management in achievement of team objectives as well as the Centre of Excellence’s objectives
• Efficient time management skills, including quick turnaround time on work
• Attention to detail
• Knowledge of Business Procedures, Rules, Processes and Controls
• Accountability
• Pro-active
• Problem solving
• Discerning

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Key Purpose

• In this role you will be involved in creating opportunities that delight our customers by leveraging Discovery’s vast clinical, demographic, and operational data. The successful applicant will be working within a highly specialized and growing team investigating ways to optimize and improve client services for Discovery’s client schemes. The successful candidate must be motivated, productive and work well within a team.

Areas of responsibility may include but not limited to

• Connecting with a multitude of stakeholders to understand the data in a healthcare and operational context
• Mining large datasets to find new insights to inform operational efficiency and ‘member- delight’ interaction strategies
• You will be expected to deliver clear and reliable results on tight and high-pressured deadlines at times
• Use data to provide insights with predictive modelling, visualisations, advanced SQL scripts
• Present data and model findings in a way that provides actionable insights to business users

Personal Attributes and Skills

• Experience in programming languages such as R, Python, Scala
• Expert in data manipulation skills including SQL to extract, transform and load data
• Experience in interactive data exploration and data-driven story telling
• Strong analytical and statistical knowledge
• 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)
• Self-starter
• Willingness to learn and grow exponentially
• A restless curiosity towards data and uncovering unknown correlations
• Ability to work cohesively in a team environment and balance multiple priorities
• A team player who can work alone when required and without supervision
• High level of attention to detail, resilience, enthusiasm, energy, and drive
• Positive, can-do attitude

Education and Experience

• Honours or Master’s degree in either Statistics, or Applied Mathematics
• 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
• Analytical work experience in the financial or health services industry (advantageous)