Old Mutual – Hybrid Jobs – 06 July 2026

To apply, click on the link at the end of the posts and all the best with your applications

AI Personalisation Product Lead

Job DescriptionThe AI Personalisation Product Lead is the technical product owner for Old Mutual’s AI-driven personalisation engines. This is an engineering-adjacent leadership role that owns the product track for four interconnected AI systems: the Next Best Action (NBA) engine, the content personalisation engine, the dynamic optimisation infrastructure, and the chatbot personalisation capability. The Lead is accountable for the technical maturity, production reliability, and performance improvement of these systems — not for the commercial proposition they serve.

This is a deeply technical role. The ideal candidate has a background in machine learning engineering, data science leadership, or AI product management within a production ML environment. They must be fluent in the language of model training, feature engineering, serving infrastructure, latency optimisation, champion-challenger experimentation, and MLOps — not just able to discuss these topics at a conceptual level, but able to make architectural decisions, review model performance, challenge data science approaches, and unblock engineering bottlenecks. This person runs sprint planning, reviews pull requests with the team, triages production incidents, and makes trade-off decisions between model accuracy and serving latency.
The role leads a technical team of 13 to 15 resources in data science, ML and engineering.

Key Responsibilities

Next Best Action (NBA) Engine — Product Ownership

• Own the NBA product vision, technical roadmap, and engineering backlog — defining what capabilities the engine needs to develop, in what sequence, and to what performance standard.
• Define the NBA decision framework: what actions the engine evaluates, what signals it consumes, what constraints it respects (commercial rules, partner obligations, frequency caps, POPIA consent), and how it ranks competing actions.
• Direct the Data Science team on model development.
• Own the real-time serving infrastructure.
• Design and govern champion-challenger experimentation: define experiment protocols, statistical rigour standards, traffic allocation strategies, and decision criteria for model promotion.
• Build and maintain the feature store: curate the real-time and batch feature sets (behavioural, demographic, transactional, contextual) that feed NBA models, ensuring feature freshness, quality, and governance.
• Integrate NBA outputs into Rewards and Digital Platform customer touchpoints: work with Technology/Engineering on API design, integration patterns, fallback handling, and error management.
• Monitor NBA performance daily: model accuracy (AUC/precision/recall), acceptance rates, revenue attribution, latency metrics, and drift detection — triggering retraining when performance degrades.
• Build feedback loops: ensure action outcomes (accepted, ignored, rejected) are captured, pipeline-processed, and fed back into model training data on a defined cadence.
• Report NBA performance and attributed revenue to Business Owners monthly, with clear methodology transparency.

Content Personalisation Engine — Product Ownership

• Own the content personalisation product vision and technical strategy: how the engine determines which content, articles, offers, and recommendations to serve to each user.
• Direct the development of content recommendation algorithms: collaborative filtering, content-based filtering, hybrid approaches, and contextual re-ranking models.
• Build and maintain user interest profiles from behavioural data (content views, reads, dwell time, shares), stated preferences, and inferred affinities.
• Own the content taxonomy and tagging framework (jointly with Data Architect): define the metadata structure, classification schema, and machine-readable content attributes that enable effective algorithmic matching.
• Integrate personalised content feeds into Digital Platform (app, web, WhatsApp) and Rewards experiences.
• Implement editorial override and curation controls: build mechanisms that allow marketing and content teams to pin, boost, suppress, or schedule specific content alongside algorithmic recommendations.
• Design and run experiments to measure personalisation impact: A/B tests of personalised vs. non-personalised content, content diversity experiments, and filter bubble detection.
• Ensure content diversity to prevent filter bubbles: implement exploration mechanisms, serendipity algorithms, and diversity constraints that maintain content discovery alongside personalisation.
• Monitor content personalisation performance: engagement lift, content consumption depth, return frequency, and personalisation coverage metrics.

Dynamic Optimisation & Experimentation Infrastructure

• Own the experimentation platform: design, build, and maintain the A/B testing and multi-armed bandit infrastructure that enables automated optimisation of campaigns and experiences.
• Implement multi-armed bandit algorithms for automated traffic allocation: where experiments should converge to the winning variant dynamically rather than waiting for manual analysis.
• Build real-time campaign optimisation pipelines: automated bid, creative, and audience adjustment based on streaming performance signals.
• Develop adaptive algorithms for experience personalisation that improve over time through continuous learning — not just static rule-based personalisation.
• Create guardrails and circuit breakers: automated safety mechanisms that prevent optimisation algorithms from degrading experiences, violating business rules, or producing statistically invalid conclusions.
• Establish statistical rigour standards for experiment design: minimum sample sizes, power calculations, duration rules, and significance thresholds.
• Build dashboards that surface experiment results and automated decisions transparently: stakeholders must be able to see what the algorithms are doing and why.

Chatbot AI Personalisation — Product Ownership

• Own the chatbot personalisation product: the AI/ML capability that makes the chatbot contextually aware, brand-consistent, and able to guide users through personalised journeys.
• Integrate the chatbot with NBA engine outputs: the chatbot should be able to surface the NBA-recommended action within conversation, not operate as a disconnected system.
• Integrate the chatbot with the content personalisation engine: the chatbot should recommend relevant content, articles, and features based on the user’s profile and conversation context.
• Build decision trees and personalisation logic for chatbot-guided journeys: the chatbot must be able to navigate users through complex multi-step processes (onboarding, rewards redemption, feature discovery) with contextual personalisation.
• Own chatbot integration into the InteGreat (DAE) adviser platform: define adviser-specific chatbot use cases, conversation flows, and integration requirements.
• Implement chatbot analytics: conversation completion rates, containment rates, personalisation effectiveness (CSAT, conversion from chatbot interactions), and escalation patterns.
• Continuously improve chatbot responses based on conversation log analysis, user feedback, and outcome data.

Customer Micro-Segmentation — Technical Infrastructure

• Own the technical segmentation infrastructure: the models, pipelines, and data systems that produce granular customer segments for precision targeting and personalisation.
• Direct the Data Science team on segmentation model development.
• Build dynamic segments that update in real time as customer behaviour changes — not static segments refreshed weekly.
• Integrate segments into the NBA engine, content personalisation engine, marketing automation platform, and CRM — ensuring segments are actionable across all activation channels.
• Establish segment governance: creation, naming, validation, retirement, and deduplication standards.
• Provide segment insights to the Demand Marketing Leads and Business Owners: segment-level performance reports that prove targeting value and inform campaign strategy.

MLOps, Platform Engineering & Technical Governance

• Own the ML development lifecycle across all AI products: model training, validation, deployment, monitoring, retraining — with defined cadences, quality gates, and rollback procedures.
• Define and enforce model governance standards: model documentation, bias testing, fairness assessment, explainability requirements, and audit trails.
• Own the MLOps pipeline: CI/CD for models, automated testing, deployment orchestration, model versioning, and A/B deployment infrastructure.
• Manage the AI/ML technology stack: ML training platform (MLflow, SageMaker, Vertex AI, or equivalent), model serving infrastructure (KServe, Seldon, or custom), feature store, and experiment platform.
• Lead sprint planning, backlog grooming, and technical prioritisation for the AI Personalisation squad across all four product areas.
• Manage the dedicated engineering resources: Scrum Master, Feature Analysts, Solution Architect, API engineers, and QA engineers — ensuring capacity is allocated effectively across NBA, chatbot, and back-end workstreams.
• Define the multi-frontend integration strategy: how NBA, content personalisation, and chatbot capabilities are exposed across App, Web, WhatsApp, and InteGreat/DAE — not just InteGreat alone.

Required Skills & Experience

• Tertiary qualification in Computer Science, Machine Learning, Data Science, Statistics, Engineering, or a related technical field. Postgraduate (MSc/PhD) in ML, AI, or statistical modelling strongly preferred.
• Minimum 7–10 years of experience in ML/AI product development, data science, or ML engineering, with at least 3–5 years in a product lead, tech lead, or senior data science leadership role.
• Deep technical fluency in machine learning: supervised and unsupervised learning, recommendation systems, NLP/NLU, reinforcement learning, multi-armed bandits, and real-time model serving. Must be able to review model architectures, challenge experimental designs, and make build-vs-buy technical decisions.
• Production ML experience: has built and operated ML systems that serve real-time decisions at scale (not just research/experimentation). Understands latency optimisation, feature store design, model drift, and serving infrastructure.
• Hands-on proficiency (current or recent) in Python, SQL, and at least one ML framework (PyTorch, TensorFlow, scikit-learn, XGBoost). Not expected to write production code daily, but must be able to read code, review PRs, and prototype approaches.
• Experience with MLOps practices: CI/CD for models, experiment tracking (MLflow, Weights & Biases), model monitoring, automated retraining pipelines, and deployment orchestration.
• Experience with real-time serving infrastructure: low-latency API design, feature serving, and integration with consumer-facing digital products.
• Experience leading cross-functional technical teams: data scientists, ML engineers, software engineers, QA, and solution architects working together on AI product delivery.
• Product management skills: ability to define product vision, manage a technical backlog, make prioritisation trade-offs, and communicate technical progress to non-technical Business Owners.
• Experience with experimentation and A/B testing at scale: champion-challenger design, statistical rigour, and multi-armed bandit deployment.
• Strong communication skills: ability to translate complex ML concepts into business impact language for executive and Business Owner audiences, and to write clear technical documentation for engineering teams.

SkillsAction Planning, Adaptive Thinking, Agile Project Management, Business Requirements Analysis, Commercial Acumen, Computer Literacy, Data Compilation, Data Controls, Executing Plans, IT Network Security, Management Reporting, Negotiation, Policies & Procedures, Project Risk Management, Readiness Assessments, Report Review, Workflow Management

CompetenciesBuilds Effective Teams

Business Insight

Communicates Effectively

Cultivates Innovation

Decision Quality

Develops Talent

Drives Engagement

Drives Results

EducationNQF Level 7 – Degree, Advance Diploma or Postgraduate Certificate or equivalent

Closing Date11 July 2026 , 23:59

Click here to apply

Distribution Actuary

Job DescriptionThe Distribution Actuary acts as the financial interface between the business and distribution channels, applying actuarial thinking in a non-traditional context to support strategic decision-making. The role focuses on optimising channel economics, translating complex financial insights into clear actions, and guiding leaders toward improved value outcomes.

Part of the Distribution Economics team within Old Mutual’s MFC Finance function, the role offers exposure across multiple sales channels, using actuarial, behavioural economics, and data science techniques to maximise long-term value creation. The incumbent leads sales business planning, shapes strategy, and partners closely with sales leaders to drive the value of new business in the lower-income market segment.

What you’ll love about this role:

• Immerse yourself in MFC’s purpose‑driven culture—our strong heritage and commitment to integrated financial solutions that are affordable and accessible are what set us apart.
• Partner with sales staff from different channels, including tied, broker, franchise, virtual and digital channels, ensuring our analytics and recommendations translate into real‑world impact.
• Influence the future of MFC through input on business planning and strategic initiatives.
• Help reshape our distribution model in response to evolving regulations, AI advancements and industry trends.

What we’re looking for:

• Strong strategic, financial and commercial acumen.
• Proven ability to translate data‑driven insights into practical, sales‑focused recommendations.
• Comfort in communicating complex concepts with diverse audiences, able to adapt style and tone to convey a message most appropriately.
• Excellent stakeholder management, with experience working alongside finance, actuarial valuation and commercial teams.
• A passion for using analytics to bridge the gap between customers’ resources and their financial‑service needs.

Key Result Areas / Outputs :

Strategic Business Partnering

• Act as the financial conduit between business and distribution channels
• Lead sales business planning and contribute to channel strategy
• Translate financial metrics into clear, actionable objectives for stakeholders

Stakeholder Management & Leadership

• Build and maintain strong relationships across business, finance, and distribution teams
• Influence decision-making through data-driven insights
• Collaborate across multi-disciplinary teams and lead/mentor a small team

Channel Economics & Modelling

• Develop and apply financial models to understand distribution channel economics and performance
• Analyse salesforce productivity, cost structures, and revenue dynamics
• Translate modelling outputs into practical recommendations to optimise value outcomes

Business & Channel Enablement

• Strengthen distribution channels through strategic guidance and hands-on support
• Develop business models to address key strategic questions in the mass market

Actuarial Insights & Analysis

• Apply actuarial and financial analysis to guide complex business scenarios
• Analyse distribution performance (e.g., lapses, expenses, revenue drivers)
• Generate actionable insights and validate assumptions using the actuarial control cycle

Continuous Improvement & Innovation

• Identify inefficiencies and drive improvements in models, processes, and decision frameworks
• Support change initiatives and innovation in distribution strategy
• Contribute to shaping how the business responds to strategic challenges

Risk, Governance & Compliance

• Manage financial risks within distribution channels
• Ensure compliance with relevant regulations (e.g., commission structures)

Qualifications, Skills and Experience:

• Qualified actuary
• At least 8 years’ experience.
• A champion of the mass market customer
• Solution-driven, passionate, energetic, and innovative
• Business acumen and collaboration skills
• A strong sense of ownership, initiative, and the ability to think on your feet
• Capacity to work under pressure, in an ambiguous environment with often tight deadlines
• Strong interpersonal and communication skills

The following will be an advantage:

• An understanding of retail distribution
• Prior experience building and operating models
• Prior experience working in valuations and/or pricing

SkillsAdaptive Thinking, Change Management, Commercial Acumen, Cultural Awareness, Customer-Focused, Executing Plans, Financial Acumen, Learning and Development (L&D), Negotiation, Negotiation Tactics, Performance Management Design, Policy Development, Professional Presentation, Servant Leadership

CompetenciesBalances Stakeholders

Builds Networks

Business Insight

Collaborates

Communicates Effectively

Decision Quality

Drives Results

Ensures Accountability

EducationNQF Level 9 – Masters

Closing Date22 July 2026 , 23:59

Click here to apply

Fund Accountant

Job Description

Perform professional accounting work, including compilation, consolidation, and analysis of financial data. The role requires an understanding of accounting fundamentals and principles, as well as experience in bookkeeping. Key responsibilities may include, but are not limited to, maintaining general ledgers, preparing journal entries, fixed asset (investment) accounting, bank reconciliations, management of control accounts (including debtors and creditors), reserve analysis, and the preparation of trial balances and financial statements.

Key Result Areas:

Control monitoring, Reconciliations and Reporting, which may include, but not be limited to, the following:

• Responsible for monitoring (reconciling) assets held at asset managers against liability balances and analysing variances.
• Responsible for agreeing bank and asset transactions with trade order instructions received from the administration system.
• Monitoring all other relevant controls, including that the ledgers are accurately produced.
• Performance of daily bank reconciliations.
• Liaison with external and internal auditors, as required, including preparation of audit schedules and working papers.
• Preparation of asset (investment funds) and bank reconciliation packs monthly (for review).
• Preparation of quarterly financial packs for management and board meetings as required.
• Preparation of statutory returns as required (quarterly exchange control and other statutory reporting, e.g. C48).
• Peer review of asset and bank reconciliations (where required).
• Prepare balance sheet reconciliations and clearing of items on balance sheet reconciliations (control accounts, debtors & creditors).
• Responsible for new, complex and varied reconciliations with little input required.
• Responsible for defining, testing and documenting process and control changes when required.
• Prepare annual financial statements in accordance with regulatory reporting requirements for Retirement (Pension/Provident) Funds in South Africa.
• Liaise with auditors and preparations of audit working papers.
• Preparation of accurate and complete monthly and year end journals.
• Prepares and/or monitors PAYE and PAYE reconciliations. Investigates and actions PAYE reconciling items to be solved.

Skills, Qualifications and Experience Required:

• Accounting Diploma/Bcom Degree – with a good understanding of accounting principles.
• Minimum 5 years’ experience in a similar role required.
• Computer literacy – MS Office and Advanced Excel required.
• Financial services background
• Advantage: Previous experience in Retirement (Pension/Provident) Fund industry
• Strong analytical skills.

SkillsAnalytical Acumen, Bank Reconciliations, Financial Statements, General Ledger (GL), Microsoft Excel, Trial Balances

CompetenciesBusiness Insight

Communicates Effectively

Decision Quality

Ensures Accountability

Financial Acumen

Manages Complexity

Plans and Aligns

Tech Savvy

EducationNQF Level 7 – Degree, Advance Diploma or Postgraduate Certificate or equivalent: Accounting (Required)

Closing Date12 July 2026 , 23:59

Click here to apply

Segment Chief Financial Officer

Job DescriptionDevelops and drives the financial strategy for the segment aligned to the business strategy and oversees operational delivery of the finance portfolio and provision of strategic finance support to the business. The incumbent develops tools and systems to provide critical financial and operational information to the MD – Corporate and makes actionable recommendations on both strategy and operations. The role ensures that the segment is aligned to Group requirements, policies and frameworks

The incumbent is accountable for achieving results through internal and external stakeholders over periods of up to 5 years.

• Part of the CFO forum run by the OML Group CFO.
• Participates in the Old Mutual Corporate Executive Committee, and as such contributes to the wider strategy and delivery of the segment.
• Chairs the segment’s RICA (Risk Compliance and Audit) committee

Key Responsibilities but not limited to:

Develops and drives Segment Financial Strategy

• Accountable for setting policy and financial strategy for capital management and for compliance with accounting standards across the business.
• Aligns financial and governance strategy to needs in the external market (inclusive of legislative changes).
• Defines and implements best operating practices for the financial function.
• Provides scenarios and analysis to enable long term strategic planning (+3yrs) and decision making
• Facilitates investment decision making process for operational and strategic projects
• Provides M&A support to the business working with internal and external partners
• Translates and cascades Strategic directives into Operational goals

Oversees Financial management

• Identify, construct and track the right financial metrics aligned to business strategy outcomes
• Efficient Revenue management – accurate recording, reconciliations and reporting. Drive the development of revenue optimisation strategies.
• Efficient and effective expense management through budgeting support, monitoring and analysis and engagement with value chain functions. Drive expense optimisation programmes across the business.  
• Balance sheet management – responsible for actuarial liability and accounting provision assumption setting and provisions in line with the Group financial management framework.
• Ensure optimal capital structure and management
• Enable Executives responsible for interface to Group functions to manage cost/benefit for outsourced and group services (e.g. Human Capital, Marketing, etc)

Oversees Internal and external reporting

• Accurate, timely and fit for purpose financial reporting for Group, regulatory reporting requirements as well as internal business management
• Compliance with IFRS, Prudential Authority, FSCA, JSE listing and any other external regulatory requirements
• Ensure Group reporting and external reporting portrays Old Mutual Corporate effectively for investors and shareholders to appropriately understand, model and value the business

Leads Business planning and analysis

• Lead the annual business planning process
• Provide input and analysis to enable planning
• Ensure alignment of the financial plan with the segment strategy

Facilitates Product and customer pricing

• Assist customer segment heads to craft customer level pricing strategies
• Provide input into product pricing and assumption setting
• Enable financially informed decisions at product and customer levels

Facilitates robust Business partnering and stakeholder management

• Provide ongoing thought leadership and expert decision support for all parts of the value chain
• Work with customer segment teams to ensure accurate support on business casing new opportunities and customer propositions
• Manages broad stakeholder relationships
• Role model client centric behaviour

Models Management & Leadership Effectiveness

• Define performance parameters and measurements for area under supervision.
• Manage service delivery through other managers and their teams.
• Hold first line managers accountable for managerial work, including selection, performance management and talent management.
• Ensure effective talent management including succession planning; transformation per the BBBEE targets of the segment and national EAC (economically active population), skills development and training for a sustainable operating model and diverse high performing team
• Encourage a culture of continuous learning and development in the organisation
• Champions and enables change initiatives and facilitates constructive Culture shift

Oversees and ensures Risk Management, Governance and compliance

• Ensure that the business unit is compliant with Group Governance Framework, Segment strategy and operating model and any statutory legislation and regulations
• Interpret Group policies and frameworks for the business and embed into the business
• Oversight on Enterprise Risk and chair the RICA committee
• Ensure appropriate legal business partner support to the business
• Enable appropriate supplier procurement oversight and contracting in line with the business’s BBBEE objectives, SMME focus and agile delivery
• Function as the Segment single point of contact with External Auditors
• Identify and manage key strategic risks; escalates where risks cannot be addressed at this level.
• Understand the unfolding environment that industry & competitors face and defines related risks

Qualifications requirements :

• CA(SA) (almost essential)
• MBA and/or CFA advantageous
• FASSA

Experience requirements:

• 15–20+ years total finance leadership experience
• 10+ years within insurance, banking, investments, or wealth management at senior leadership level.
• Executive Committee experience
• Listed-company exposure

Technical Expertise:

• IFRS
• Capital management
• Treasury
• Regulatory reporting
• Risk and governance
• Financial strategy

Leadership:

• Board-level engagement
• Investor relations
• Large-scale transformation experience
• Proven leadership of sizeable finance teams.
• Partner with the MD/CEO, Board, and Executive Committee to formulate and refine enterprise strategy.
• Translate corporate strategy into measurable financial and operational objectives.
• Drive sustainable growth through effective capital allocation and investment decision-making

Sector Knowledge:

• Insurance and long-term savings products
• Asset management
• Wealth management
• Broader financial services

Click here to apply

Employee Benefits Broker Consultant

Job DescriptionThis role forms the critical link between Old Mutual Corporate and intermediary partners, serving as the primary relationship manager for an assigned portfolio of brokers. The incumbent is individually accountable for driving sustainable growth, market penetration, client retention, and achieving agreed sales targets through effective broker engagement, business development, and portfolio management.

The role focuses on developing and executing intermediary strategies that strengthen Old Mutual’s market presence, deepen broker relationships, and increase the adoption of Old Mutual Corporate solutions. Acting as a trusted business partner, the incumbent provides product expertise, identifies growth opportunities, and supports intermediaries in delivering value to their clients.

The role requires a commercially focused professional who can influence intermediary behaviour, respond to market dynamics, identify business opportunities, and deliver measurable results through disciplined execution and relationship management.

DESCRIBE THE MAIN ACTIVITIES OF THE JOB (DESCRIPTION)

Key Responsibilities (Including but not Limited To)

Business Development

• Market Old Mutual Corporate products, services, and brand to intermediaries and their clients.
• Develop and identify new business opportunities to increase market share and drive sustainable growth.
• Proactively support intermediaries in growing their books of business with Old Mutual by identifying prospective clients and business opportunities.
• Promote the full suite of Old Mutual Corporate solutions to brokers and advisers.
• Monitor market trends, competitor activity, and industry developments to identify opportunities and mitigate risks.
• Deliver annual new business, growth, and retention targets.

Portfolio Management

• Develop and implement intermediary account strategies and business plans.
• Conduct regular business reviews and monitor intermediary performance against agreed objectives.
• Manage and service existing intermediary relationships and client portfolios.
• Identify and implement cross-selling and upselling opportunities within existing client portfolios.
• Ensure consistent and high-quality service delivery across all brokers within the portfolio.
• Drive retention of existing business and maintain long-term client relationships.
• Analyse portfolio performance and implement corrective actions where required.
• Maintain accurate pipeline management and business reporting disciplines.

Relationship Management

• Build, maintain, and strengthen relationships with contracted intermediaries and key decision-makers.
• Influence and support intermediaries to recommend and position Old Mutual Corporate solutions with their clients.
• Act as the primary point of contact between Old Mutual Corporate and assigned intermediaries.
• Understand intermediary business models, growth plans, and client needs to provide value-added solutions.
• Facilitate collaboration between intermediaries and internal stakeholders to ensure effective service delivery.
• Act as the voice of the intermediary within Old Mutual by identifying product, service, and operational improvement opportunities.

Team Effectiveness

• Balance personal priorities with supporting and collaborating with colleagues and cross-functional teams.
• Create a climate that promotes accountability, service excellence, and high performance.
• Achieve agreed operational excellence and governance standards.
• Take full accountability for individual sales performance, service delivery, task completion, and output quality.
• Manage own performance, development, and productivity.
• Plan, organise, and prioritise work activities over short-, medium-, and longer-term periods.
• Provide support, guidance, and expertise to team members when required.
• Demonstrate professionalism, adaptability, and a commitment to continuous improvement.

MINIMUM QUALIFICATIONS / EXPERIENCE (REQUIRED FOR THE JOB)

Role Requirements: Skills, Qualifications and Experience

Qualifications

• NQF Level 6 qualification or equivalent.
• RE5 Qualification (preferred).
• Relevant Bachelor’s Degree (preferred).
• FAIS compliant.
• Certified Financial Planner (CFP®) designation would be advantageous.

Experience

• Minimum of 1-3 years’ experience in financial services, employee benefits, retirement funds, group risk, intermediary sales, business development, or relationship management.
• Proven experience in managing intermediary, broker, adviser, or client relationships.
• Demonstrated track record of achieving sales and business development targets.

Language Requirements

• Fluent in both English and Afrikaans (Non-Negotiable).

COMPETENCIES REQUIRED:

Business Competencies

• Business Development and Sales Management
• Strategic Account Management
• Portfolio and Relationship Management
• Client-Centricity
• Commercial Acumen
• Market and Industry Awareness
• Negotiation and Influencing Skills
• Opportunity Identification and Conversion
• Pipeline and Performance Management
• Presentation and Facilitation Skills

Behavioral Competencies

• Results Driven
• Accountability and Ownership
• Excellent Communication Skills
• Relationship Building
• Networking and Collaboration
• Resilience and Adaptability
• Planning and Organising
• Problem Solving and Decision Making
• Initiative and Proactivity
• Attention to Detail
• Professionalism and Integrity
• Customer Focus

Leadership Competencies

• Self-Leadership
• Performance Management
• Execution Excellence
• Continuous Improvement Mindset
• Change Agility
• Stakeholder Management
• Team Collaboration and Support

Technical Competencies

• Employee Benefits and Retirement Fund Knowledge
• Group Risk Product Knowledge
• Financial Services Industry Knowledge
• Regulatory and Compliance Awareness (FAIS, TCF and related legislation)
• CRM and Pipeline Management Systems
• Microsoft Office Suite (Excel, PowerPoint, Word, Outlook)
• Data Analysis and Business Reporting Skills

Old Mutual Success Profile

• Delivers Results
• Drives Growth
• Builds Strong Relationships
• Demonstrates Customer Obsession
• Collaborates Across Boundaries
• Acts with Integrity and Accountability
• Embraces Innovation and Continuous Improvement

Skills

CompetenciesAction Oriented

Builds Networks

Business Insight

Communicates Effectively

Customer Focus

Directs Work

Drives Results

Instills Trust

EducationNQF Level 6 – Diploma, Advance or Occupational Certificate or equivalent

Closing Date09 July 2026 , 23:59

Click here to apply

We wish you all the best with your applications