Latest Jobs at Old Mutual Insure

Job Purpose

Ensure that data and information resources are managed as a strategic asset by using and applying appropriate statistical tools, data management methodologies and processes that produce consistent, reliable and accessible data, information and insight to achieve OMI’s business goals.

Job Objective

Perform Data Management activities that will increase the value of company data:

 Data Management Planning

• Identify data needs which are based on the company business strategic objectives, measures, targets and initiatives, and the required analysis in support of decision making
• Establish whether the existing data availability, accessibility and quality is meeting the business needs and develop data strategies to close the gap
• Research and explore new ways to find and collect relevant data from potential new sources of information
• Analyse business information with the objective to reduce data process related costs and increase productivity of data availability and accessibility to the users
• Estimate Data Asset value & associated Data Management costs
• Communicate & promote the value of Data Assets
• Participate in the development and review of Data Policies, Standards and Procedures
• Managing and designing the reporting environment for data sources, quality, security and metadata
• Supporting initiatives for data integrity and normalisation

Meta Data Management

• Understand Meta Data Requirements and align specification to the appropriate maturity level
• Develop & maintain business Meta Data and the Meta Data standards
• Manage metadata repositories (directories, glossaries and other metadata stores)
• Support business Meta Data reporting and analysis
• Collaborate with business users and analytics team to determine dimensional hierarchies and provide specification to IT for the ongoing maintenance thereof
• Develop and maintain data specification for various uses:
• Reporting, management dashboards & scorecards
• Conduct data related due diligence process for third party systems, intermediaries and binder holders
• Data integration with other external data sources

Data Quality Management

• Establish data quality expectations and define requirements from business users
• Test and validate data quality requirements
• Develop data quality standards, methodologies, algorithms, processes and guidelines
• Design and implement operational data quality management procedures
• Monitor operational data quality management procedures & performance
• Define and document data quality requirements & business rules
• Develop and promote data quality awareness
• Define data quality metrics and service levels
• Manage Service Level Agreements for data quality with internal and external suppliers
• Embed data quality certification scores in the fact tables
• Provide quality assurance of imported data
• Profile, measure, analyse and assess data quality
• Perform data quality root cause analysis
• Analyse the impact of data quality to business decision making
• Continuously measure, monitor and report data quality
• Establish and manage data quality certification reporting
• Assist in managing and resolving data related issues as experienced by Data Owners, Stewards and Custodians and present possible solutions to the Data Governance Council
• Propose solutions to correct data quality defects
• Assist in the prioritization initiatives for data management by conducting an analysis of the costs vs benefits using statistical methods
• Provide support to Data Management audit activities
• onitor conformance with Data Policies, Standards and Architecture
• Identify potential risks to the security of data and assist to find solutions to ensure data system integrity
• Assist in establishing data security guidelines
• Apply data security guidelines to the data
• Review business security rules and data access views
• Adhere to data security controls
• Assist with data security classification
• Develop metrics for data management
• Produce data management reports that highlight trends and provide recommendations for the improvements

 Identify, develop and/or apply data management analysis tools and techniques and actively participate in analytics team's knowledge and capability development.

• Testing statistical differences
• Looking for unknown data relationships
• Use of graphical tools to help visualize relationships between variables
• Use of statistical packages to perform data quality tests
• Data risk modeling tool
• Data profiling
• Six Sigma
• Data management reporting tools

Minimum Requirements

• Minimum Bachelor’s degree in Computer Science,  Informatics, Engineering, Mathematics, or Operations Research
• 3 – 5 years’ experience in building data marts, data models, knowledge in applying fundamental data transformation, cleaning, validation and statistical techniques, and data quality analysis
• Quantitative problem-solving skills
• Ability to work effectively with people at all levels in an organisation
• Ability to communicate complex ideas effectively both verbally and in writing (English)
• Knowledge of SQL, BI Platforms, Excel-VBA/Access, SAS, SharePoint
•  Knowledge of R, PYTHON and HADOOP is advantageous.

Shortlisted candidates will be subjected to the following statutory checks:

• ITC
• Criminal
• References
• Qualifications

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Purpose of the Job

This role is responsible for creating and embedding the data design practice in all areas of the data office, which include conceptual, logical and physical data modeling. In collaboration with the enterprise architecture function create a future fit data architecture and drive data interoperability within the organization.  

Job Objective

• Responsible for separating different types of data into structures that can be easily processed.
• Define and lead the implementation of an in-house data modelling framework to ensure the transformation and adoption of data modelling principles across all the data office
• Define and govern data modelling and design standards, tools, best practices and related development methodologies for enterprise data models.
• Set standards for document naming, security and lifecycle & retention architecture.
• Collaborate with enterprise architecture to translate data so that it can be read by various types of computer systems.
• Translate business needs into data models supporting long term solutions.
• In collaboration with data engineers create optimal physical data models of datasets, create and maintain data maps and systems interrelationship diagrams for data domains and systems.
• Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
• Recommend opportunities for reuse of data models in new environments.
• In collaboration with enterprise architecture optimise information/data management through an understanding of evolving business needs and technology capabilities.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Evaluate data models and physical databases for variances and discrepancies.
• Analyse data related system integration challenges and propose solutions.
• In collaboration with data teams, implement data strategies, build data flows and develop conceptual data models.
• Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.
• Optimise and update logical and physical data models to support new and existing projects.
• Maintain conceptual, logical and physical data models along with corresponding metadata.
• Build bespoke data models together with processes and capture tools to solve business problems.

Minimum Requirements

• Bachelor’s degree in Computer Science or Information Systems
• 8 – 10 years’ experience in Data modelling and Data architecture.
• 3 – 5 years’ experience in architecting data solutions with the latest hardware and software engineering competencies.

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Job Purpose

Manage the implementation of the pricing strategy to support the growth and development of the business through a risk-based pricing model across all product sets and distribution mechanisms. Identify market opportunities through competitor and market analysis and to produce business intelligence on underwriting performance and / or profitability of the business.

Job Objective

Manage the implementation of the pricing strategy to support the growth and development of the business.

• Develop, maintain and control tactical pricing structures ensuring key underwriting/financial matrices within the business plan are achieved.
• Use actuarial modelling tools and techniques to develop and maintain rating models, continuously optimizing the rating structure for product lines as required.
• Perform regular rate indications to set expectations for future losses and premium required to maintain desired financial performance.
• Develop and maintain insights into competitive benchmarking of rates and use this to help optimize rating structures.
• Assess profitability of different product segments with a view to optimizing rating structures and providing guidance to underwriting.
• Develop and implement risk/return pricing standards and risk management methodologies based on actuarial and economic principles.
• Develop pricing indications to attain an underwriting profit. Price alternative structures as needed.
• Use predictive modelling techniques to gain insights into retention and new business, combined with insights on competitive benchmarking, to refine and optimize rating plans.
• Use analytical tools to gain insights into the insurance portfolio, including monitoring trends, changes and risk.
• Provide input on the structure and pricing of new product features or changes to product features.
• Assess and qualify the impact that changes to the pricing strategy have on portfolio/product performance.
• Make recommendations on data collection, tools, software and business processes to maximize insights and efficiency of the pricing function.
• Monitor exposure accumulations to find opportunities for profitable growth and risk control.
• Lead the review of new product strategies, design, pricing and implementation.

Minimum Requirements

• Bachelor’s degree in Actuarial Science.
• 5 – 8 years’ experience in pricing within the Insurance Industry.
• Strong knowledge of LTV principles and how they can be applied in pricing.
• Strong knowledge of statistical modelling software (Emblem, SAS, R).

Shortlisted candidates will be subjected to the following statutory checks:

• ITC
• Criminal
• References
• Qualifications

go to method of application »

Job Purpose

Manage, implement and monitor the pricing strategy to support the growth and development of the business through a risk-based pricing model across all product sets and distribution mechanisms nationally. Identify market opportunities through competitor and market analysis and to produce business intelligence on underwriting performance and / or profitability of the business.

Job Objective

Manage the pricing strategy to support the growth and development of the business through a risk-based pricing model

• Accountable for the management and implementation of a pricing strategy and model across all product sets and distribution mechanisms nationally.
• Understand the end-to-end customer value chain to identify opportunities to improve the profitability of the product offering through risk-based selection and / or product rationalisation / design.
• Manage rate change process for existing products and rate design & implementation for new products across platforms to ensure that the organisation operates on a profitable and financially viable basis through an optimised pricing model.
• Manage strategic price implementation and price strength analysis and reporting.
• Provide data specifications for connectivity and rate engines.
• Contribute to strategies and related processes to continuously grow the target market.
• Actively participate in the analysis and monitoring of the industry, target market and competitors to identify opportunities and threats.
• Build models to profit test changes to existing products as well and potential new products.
• Establish, monitor and review pricing principles for bundled products, new business and existing business that are relevant to the target markets.
• Review third party pricing models during due diligence and review processes and provide insights and advice on necessary changes.
• Deliver on projects and initiatives within agreed deadlines.
• Monitor market conditions, competitive landscape, regulatory and technological changes to ensure the pricing strategy remains relevant.
• Apply advances actuarial/statistical techniques in analysing pricing data.

Change methodology and ensure implementation across all projects

• Ensure project and change initiatives meet objectives on time and on budget by increasing user adoption and proficiency.
• Responsible for implementing change management strategies and plans that maximize user adoption and proficiency and minimize resistance by increasing benefit realization, value creation, ROI and the achievement of business results and outcomes.
• Provide customer and competitor insights that will guide product development and improve user adoption or uptake. 

Minimum Requirements

• Near or newly Qualified Actuary.
• 3 – 6 years’ experience in pricing within the Insurance Industry.
• Strong knowledge of GLM pricing techniques

Shortlisted candidates will be subjected to the following statutory checks:

• ITC
• Criminal
• References
• Qualifications