Job Opportunities at Jubilee Insurance

Job Ref. No. JLIL017

We currently have an exciting career opportunity for Robotic Process Automation Design Engineer within the Digital Lab Department. The position holder will report to the Head of Robotic Process Automation and will be based at Head Office in Nairobi.

Role Purpose

The role holder will manage and deliver components of business engagements that identify, design, and implement technology and creative RPA solutions for the organization.

Main Responsibilities

1. Analyze business processes, identify automation opportunities, define RPA value proposition, reengineer processes to improve automation potential and recommend RPA approach/strategy.
2. Develop detailed PDD (Process Description Document) and SDD (Solution Design Document)
3. Conduct RPA High Level Assessments.
4. Develop RPA client architecture and solution proposal focusing on scalability and extensibility.
5. Develop high level project plans for implementation projects.
6. Provide continuous updates to RPA stakeholders and Project Manager during project delivery.

Key Competencies

1. Team spirit
2. Creativity
3. Learning on the Fly
4. Dealing with Ambiguity
5. Presentation Skills
6. Time Management skills
7. Written Communications skills
8. Problem Solving skills
9. User engagement skills
10. Attention to detail

Qualifications

1. Bachelor’s Degree in Business, Computer Science, Telecommunications or any other relevant field
2. Relevant professional qualification
3. Knowledge of modern RPA technologies such as UiPath and Automation Anywhere
4. UiPath RPA Developer certifications preferred.

Relevant Experience

1. Minimum of 5 years’ experience designing and developing software solutions
2. Minimum of 3 years hands-on experience with RPA development tools such as UiPath and Automation Anywhere
3. Experience in delivering cross-functional, enterprise RPA solutions
4. Experience and proficiency with various web-based software applications including Microsoft Office Word, Excel, PowerPoint and SharePoint

If you are qualified and seeking an exciting new challenge, please apply via Recruitment@jubileekenya.com quoting the Job Reference Number and Position by 17th November 2021.

Only shortlisted candidates will be contacted.

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Job Ref. No. JLIL015

Position: Head of Robotic Process Automation

We currently have an exciting career opportunity for Head of Robotic Process Automation within the Digital Lab Department. The position holder will report to the Head of Digital & Innovation and will be based at Head Office in Nairobi.

Role Purpose

The role holder will be responsible for leading the company efforts in Robotic Process Automation. The role holder will define, implement and manage strategies for a successful Robotic Process Automation delivery, working closely with the business units to develop and understand their business processes and deliver business automated solutions.

Main Responsibilities

1. Develops and configures automation processes as per the Technical Design Document (TDD) to meet the defined requirements.
2. Develops new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.
3. Complies with and helps to enforce design and coding standards, policies and procedures.
4. Works collaboratively with test teams during the Product test and UAT phases to fix assigned bugs with quality.
5. Reports statuses, issues and risks to tech leads on a regular basis.
6. Improves skills in automation products by completing automation certification.
7. Lead and review the team’s work across all phases (planning, analyzing, designing, building and testing)
8. Direct efforts to define technical, operational and user requirements.
9. Design conceptual architecture and technical solutions and lead efforts to develop and implement client-approved solutions.
10. Take responsibility for project activities including work estimation, planning, stakeholder management and project quality.

Key Competencies

1. Customer service and cross-functional interpersonal skills
2. Strong project management skills
3. Creativity
4. Learning on the Fly
5. Dealing with Ambiguity
6. Presentation Skills
7. Time Management
8. Excellent Written & Communication skills
9. Problem Solving skills
10. User engagement skills
11. Attention to detail
12. Team spirit

Qualifications

1. Degree in Computer Science, Business, or any other related field.
2. Relevant professional qualification.
3. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
4. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Relevant Experience 

1. Minimum of 4 years’ experience in a Supervisory role with a minimum of 1-2 years in Robotic Process Automation.
2. Strong working knowledge in the usage and functionality of the Robotic Process Automation software, preferably Blue Prism (Minimum 2- 3 years)
3. Any Process optimization background (LEAN, Six Sigma)

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Job Ref. No. JLIL018

We currently have an exciting career opportunity for Underwriter within the New Business Department. The position holder will report to the Head of New Business and will be based at Head Office in Nairobi.

Role Purpose

The role holder will achieve efficiency in life underwriting and individual pensions member registration for a variety of products to contribute to the achievement of financial objectives of the business. The role holder will also carry out duties in line with compliance of underwriting and member registration activities and processes.

Main Responsibilities

• Underwriting– Risk assessment, classifying of risk and pricing accordingly. Ensure that new clients comply with life insurance and pensions regulation relating to KYC and anti-money laundering guidelines.
• New Business Issuance–Ensuring timely issuing of new business within given timelines.
• Creation of Individual Pension Plan accounts and member certificate preparation within given timelines.
• Policy Document Preparation – Signing of policy documents as per the authority limits.
• Data Management – Ensuring data relating to new business is continuously updated and well maintained and handled with utmost confidentiality.
• Customer Care–Ensuring timely response to customer queries, requests and adhering to “get right the first time” policy. Liaise with tied agents and intermediaries to achieve issuance of policies within given timelines.
• Book medical fees for doctors in the system.
• Ensure timely payment of doctors and other service providers within 30 days of invoice.
• Keep up to date with industry changes and maintain good working relationships with our various stakeholders.
• Manage the not taken up policies to ensure conversion of pending proposals to issued business within given timelines.
• Monitor changes of policy premium status and identify and address process gaps within the new business.
• Carry out financial underwriting for given policies and implement other activities aimed at improvements of new business persistency.
• Prepare management reports on policy issuance, proposal deposits and other requirements.
• Projects – Implementing projects relating to new business aimed at improving efficiency and accuracy.
• Any other responsibility as may be assigned by supervisor or management from time to time

Key Competencies

1. Entrepreneur Spirit
2. Market Awareness
3. Customer Focus
4. Continuous Innovation
5. Ownership & Commitment
6. Team Spirit
7. Attention to detail

Qualifications

1. Bachelor’s Degree in Insurance or any other relevant field
2. Diploma in CII/AIIK

Relevant Experience

Minimum of 5 years’ relevant experience

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Job Ref. No. JLIL013

We currently have an exciting career opportunity for Data Engineer within the Digital Lab Department. The position holder will report to the Chief Data Officer and will be based at Head Office in Nairobi.

Role Purpose

The role holder will provide support across our three areas of focus: Insights, Analytics, and Data. The role holder will support the team in a variety of capacities related to data strategy, analysis, data integration and data management. This includes analysis, ETL development and all things data (strategy, integration, modeling, warehousing, and management).

Main Responsibilities

1. Develop, construct, test and maintain architectures.
2. Align architectures with business requirements.
3. Data acquisition.
4. Develop data set processes.
5. Identify ways to improve data reliability, efficiency and quality.
6. Conduct research for industry and business questions.
7. Use large data sets to address business issues.
8. Deploy sophisticated analytics programs, machine learning and statistical methods.
9. Prepare data for predictive and prescriptive modeling.
10. Find hidden patterns using data.
11. Use data to discover tasks that can be automated.

12. Deliver updates to stakeholders based on analytics.

Key Competencies

1. The ideal candidate should demonstrate knowledge and interest in emerging technologies such as Machine Learning and Big Data
2. Ability to use programming language and tools.
3. Exceptional mathematical skills, in order to perform computations and work with algorithms.
4. Excellent written and verbal communication skills.
5. Ability to explain complex process to people who aren’t programming experts.
6. Strong analytical skills.
7. High attention to detail.
8. Innovation and creativity.
9. The ability to work with large, complex datasets.
10. Ability to work with ambiguity, translation of high–level direction to specific deliverables and effectively plan self–assigned tasks efficiently in complex work streams.
11. Ability to take business requirements and create technology solutions
12. High detail–orientation and solid logical acumen

Qualifications

1. Degree in Computer Science, Telecommunications and/or any other related field.
2. Relevant professional qualification
3. Advanced skills in data scripting and database development technologies (SQL, C#, Python, PowerShell, Ruby, Java, Batch Scripting)
4. Basic understanding of NoSQL technologies (Splunk, ELK, AWS DynamoDB)
5. Understanding of Reporting / Visualization tools (Tableau, Qlik, Spotfire)
6. CRM / Marketing Automation Systems (Salesforce, Pardot, Exact Target, Marketo)
7. Understanding of Network Infrastructure (e.g. Firewalls, CIDR blocks, Ports etc.)
8. Understanding of Streaming/Real–Time data technologies (AWS Kinesis, Kafka, Flume)

Relevant Experience

1. 3–5 years’ experience in technology/data analytics.
2. Experience with relational database systems (MSSQL, Oracle, Sybase, MySQL, Postgres, SAP HANA)
3. Experience with Cloud platforms (AWS, Azure, Google Cloud)
4. Experience with Big Data Technologies (Hadoop, Spark, RedShift, Big Query, Apache)
5. Web/Software development experience

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Job Ref. No. JLIL014

We currently have an exciting career opportunity for Data Scientist within the Digital Lab Department. The position holder will report to the Chief Data Officer and will be based at Head Office in Nairobi.

Role Purpose

The role holder will work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals. The role holder will design data modeling processes, create algorithms and predictive models in line with the business needs, and help analyze data and share insights with business stakeholders.

Main Responsibilities

1. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
2. Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
3. Assess the effectiveness and accuracy of new data sources and data gathering techniques.
4. Develop custom data models and algorithms to apply to data sets.
5. Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
6. Develop company A/B testing framework and test model quality.
7. Coordinate with different functional teams to implement models and monitor outcomes.
8. Develop processes and tools to monitor and analyse model performance and data accuracy.
9. Develop, implement and maintain databases.
10. Assess quality of data and remove or clean data.
11. Generate information and insights from data sets while identifying trends and patterns.
12. Prepare reports for executive and project teams.
13. Create visualisations of data.

Key Competencies

1. Problem–solving skills
2. Excellent written and verbal communication skills
3. Teamwork
4. Investigative skills
5. Interest in statistics
6. Interest in predicting trends and identifying patterns
7. Innovative thinking
8. Observation skills
9. Critical thinking

Qualifications

1. Degree in Mathematics, Statistics, Actuarial Science, Computer Science, Telecommunications, or any other related field.
2. Relevant professional qualification.
3. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real–world advantages/drawbacks.
4. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Relevant Experience

1. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
2. Experience working with and creating data architectures.
3. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
4. Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
5. Experience creating and using advanced machine learning algorithms and statistics: Regression, Simulation, Scenario Analysis, Modelling, Clustering, Decision Trees and Neural networks.
6. Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
7. Experience analysing data from third party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords,
8. Crimson Hexagon, and Facebook Insights
9. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi and MySQL
10. Experience in visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3 and ggplot

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Job Ref. No. JLIL016

We currently have an exciting career opportunity for Robotic Process Automation Developer within the Digital Lab Department. The position holder will report to the Head of Robotic Process Automation and will be based at Head Office in Nairobi.

Role Purpose

The role holder will work cross–functionally with business operations, business analysts and other stakeholders to create and optimize workflow processes. The role holder will also lead initiatives related to designing and managing workflow automation projects, testing and bug fixing.

Main Responsibilities

1. Provide guidance with process design.
2. Design, develop, and test automation workflows.
3. Deploy RPA components including bots, robots, development tools, code repositories and logging tools.
4. Support the launch and implementation of RPA solutions.
5. Create process and end–user documentation.
6. Assure the quality of the automation (QA processes).
7. Work with Business Analysts, Scrum Masters, QA Analysts, Product Owners, and other cross–functional resources to define and deliver business impacting projects.
8. Work directly with stakeholders to capture business requirements and translate them into technical approaches and designs that can be implemented.
9. Collaborate with development team members to ensure proper implementation and integration of the solutions.
10. Support deployments or troubleshoot production issues outside of working hours and participate in an on–call rotation as–needed.
11. Maintain current knowledge of relevant technologies and business processes.

Key Competencies

1. Team spirit
2. Creativity
3. Learning on the Fly
4. Dealing with Ambiguity
5. Presentation Skills
6. Time Management skills
7. Written Communications skills
8. Problem Solving skills
9. User engagement skills
10. Attention to detail

Qualifications

1. Bachelor’s Degree in Computer Science, Telecommunications or any other relevant field
2. Relevant professional qualification
3. Knowledge of modern RPA technologies such as UiPath and Automation Anywhere
4. Knowledge of artificial intelligence and machine learning.
5. UiPath RPA Developer certifications preferred.
6. Basic programming knowledge on HTML, JavaScript (or any scripting language).

Relevant Experience

1. Minimum of 4 years’ experience in a software development role.
2. Experience in architecting and developing workflow–based solutions.
3. Experience with web development technologies.
4. Hands on experience with RPA tools and cognitive platforms such as UiPath, Blue Prism, Automation Anywhere, etc. UiPath experience is highly preferred.
5. 2 or more years’ experience in any of the programming languages like C/C++, Python, VB Script, PHP, Ruby, Java JS, .Net.
6. Experience developing and consuming APIs.
7. Experience with Agile development methodology.
8. Experience with Databases (SQL or NoSQL) often preferred.

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Job Ref. No. JLIL010

We currently have an exciting career opportunity for AI/ML Engineer within the Digital Lab Department. The position holder will report to the Chief Data Officer and will be based at Head Office in Nairobi.

Role Purpose

The role holder will analyze and review a broad range of financial data, including transactions, transfers, and payments to uncover potentially fraudulent activity. The ideal candidate must be familiar with data analysis techniques, software, and processes, and should possess the creative problem–solving abilities necessary to suggest new methods of analysis and prevention.

Main Responsibilities

1. Understanding business objectives and developing models that help to achieve these objectives, along with metrics to track their progress.
2. Managing available resources such as hardware, data, and personnel so that deadlines are met.
3. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
4. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
5. Verifying data quality and data cleaning.
6. Supervising the data acquisition process if more data is needed.
7. Finding available datasets online that could be used for training.
8. Defining validation strategies.
9. Defining the preprocessing or feature engineering to be done on a given dataset.
10. Defining data augmentation pipelines.
11. Training models and tuning their hyperparameters.
12. Analyzing the errors of the models and designing strategies to overcome them.
13. Deploying models to production.

Key Competencies

1. Exceptional mathematical skills to perform computations and work with algorithms.
2. Excellent written and verbal communication skills.
3. Ability to explain complex processes to people who aren’t programming experts.
4. Strong analytical skills.
5. High attention to detail.
6. Innovation and creativity.
7. The ability to work with large, complex datasets.

Qualifications

• Degree in Mathematics, Computer Science, Telecommunications, or any other related field.
• Proficiency with a deep learning framework such as TensorFlow or Keras.
• Proficiency with Python and basic libraries for machine learning such as scikit–learn and pandas.
• Expertise in visualizing and manipulating big datasets.
• Proficiency with OpenCV.
• Familiarity with Linux.
• Ability to select hardware to run an ML model with the required latency.

Relevant Experience

Proven experience as an Artificial Intelligence/Machine Learning Engineer or a similar role.

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Job Ref. No. JLIL012

We currently have an exciting career opportunity for Data & Fraud Analyst within the Digital Lab Department. The position holder will report to the Chief Data Officer and will be based at Head Office in Nairobi.

Role Purpose

The role holder will analyze and review a broad range of financial data, including transactions, transfers, and payments to uncover potentially fraudulent activity. The ideal candidate must be familiar with data analysis techniques, software, and processes, and should possess the creative problem–solving abilities necessary to suggest new methods of analysis and prevention.

Main Responsibilities

1. Determine any potential fraud action or leery activity that may be carried out in the organization.
2. Assess and analyze the information present in the electromechanical software and tools designed by the organization.
3. Examine the transaction information and electronic accounts existing in the organization.
4. Ensure the organization is free from any kind of fraudulent incidents or occurrences that will harm the reputation and established businesses of the organization.
5. Determine those sections of business of the organization that need to be under additional security care and operation. 
6. Create useful strategies and techniques that will help to strengthen these sections of the organization and make them reluctant against any forthcoming fraudulent activities.
7. Find suitable and apt solutions for the unlawful transactions detected with the help of proper assessment, research techniques and methodologies.
8. Maintain an elaborated record and documentation of the fraudulent events that have taken place in the past. Make use of these records to investigate the current fraudulent issues and determine effective resolutions for the same. Also take effective steps to make sure that such events do not take place in the organization.
9. Provide competent suggestions and recommendations by developing loss reduction techniques for the organization.
10. Convey threats identified to the Management Group and study the general trends of fraudulent activities.
11. Follow the guiding principles and policies previously set up by the organization relating to data and fraud management.

Key Competencies

1. Attention to detail
2. Problem Solving Skills
3. Trustworthiness
4. Strong analytical skills to be able to identify fraud risk areas in complex operational environments from both structured (financial systems) and unstructured data (conversations, investigation reports and complaints)
5. Awareness of global standards and legislation around fraud and corruption
6. Awareness of current best practices in investigation techniques
7. Excellent communicator and facilitator and able to clearly and confidently articulate present findings.
8. Strong negotiation skills to influence all levels of staff, showing ability to work collaboratively with peers from different departments.
9. Highly developed cultural awareness and ability to work well in a corporate environment with people from diverse backgrounds.

Qualifications

1. Degree in Mathematics, Statistics, Actuarial Science, Finance, Computer Science, Telecommunications and/or any other related field.
2. Relevant professional qualification

Relevant Experience

1. Relevant experience in audit/risk/investigatory with knowledge of common analytical tools such as Case Ware
2. IDEA and ACL
3. Proven experience in using data analytics tools in an audit/risk/investigatory setting to identify and address red
4. flags
5. Substantial experience in forensic investigation with thorough knowledge and/or experience in audit.

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Job Ref. No. JLIL019

Position: Actuarial Analyst

We currently have an exciting career opportunity for Actuarial Analyst within the Actuarial Department, Jubilee Life Insurance Limited. The position holder will report to the Head of Actuarial and will be based at Head Office in Nairobi.

Role Purpose

The role holder will be responsible for actuarial analysis & modelling for technical reporting, pricing, actuarial results in financials, solvency, and capital requirements as well as projections for budgeting, experience & scenario analysis.

Main Responsibilities

1. Projections and Budgeting
   1.  Development of projected actuarial cash flows & reserves models
   2.  Actuarial inputs for financial report
2. Actuarial Reporting
   1.  Actuarial modelling – reserves for regulatory & financial reporting and asset liability management
   2.  Experience analyses including mortality investigations, persistency, expenses & investment returns.
   3.  Gross and Reinsurance loss ratios.
   4.  Financial statements actuarial inputs.
   5.  Risk based capital solvency reporting.
3. Product Development
   1.  Pricing, profit–testing, system set–up, & development of policy documents for new products
   2.  Developing illustrations for new products
   3.  Ongoing profitability model runs.
   4.  Analysis of surplus
   5. Value of in–force, new business and embedded value reporting
4. Policy Administration System
   1.  Setting product parameters on the system
   2.  Testing past products

Key Competencies

1. Entrepreneur Spirit
2. Market Awareness
3. Customer Focus
4. Continuous Innovation
5. Ownership & Commitment
6. Team Spirit
7. Attention to detail

Qualifications

1. Bachelor’s Degree in Actuarial Science, Statistics, Mathematics or any other relevant field
2. Professional Actuarial Examinations (Minimum of 3 completed papers)

Relevant Experience

Minimum of 1 year relevant experience

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Job Ref. No. JLIL011

We currently have an exciting career opportunity for Chief Data Officer within the Digital Lab Department. The
position holder will report to the Head of Digital & Innovation and will be based at Head Office in Nairobi.

Role Purpose

The role holder will be responsible for developing and governing Jubilee’s data and information strategy to drive sound business decisions and growth. The role holder will also develop data procedures and policies, and work closely with various business units to collect, prepare, organize, protect, and analyze data assets while ensuring that the company meets industry best practice. Other duties will include leading inter–disciplinary teams, improving and streamlining data systems within the company, and driving innovation.

Main Responsibilities

Leadership

1. Oversee the development of new data analytics capabilities across the business and manage on–going comprehensive data analytics.
2. Oversee the strategic data priorities of the company and identify new business opportunities based on existing data and provide guidance on which data to store, analyze, and exploit for the business’s benefit.
3. Provide vision for business–wide data activities and champion for data ownership, standardization, accessibility, and governance.
4. Regulate the capture, maintenance, and presentation of data and information on a global level to measure performance.
5. Manage the lifecycle of data and information to comply with business requirements.

Strategy

1. Define and oversee how the business captures, maintains, and applies data and information to support key business processes.
2. Establish the strategic direction for building the business’ data management program and optimizing how the business uses data both internally and externally.
3. Provide thought leadership in the development, co–ordination, and implementation of data strategies to support the company’s development plans and capture new opportunities.
4. Provide guidance on how best to leverage data assets that support the company’s strategy and offer leadership in creating and sustaining vibrant data organization, technologies, processes, and policies across the entire company.

Analytics

1. Define and drive all analytics and business intelligence initiatives including, but not limited to, analytical models necessary to support user cases such as customer segmentation and predictive insights.
2. Optimize business performance by utilizing not only the data already available to the business, but also tapping
3. into new and innovative sources of data.

Collaboration

1. Oversee cross–functional data governance while simultaneously ensuring adoption and adherence to data quality and process governance in the relevant collaborating departments.
2. Work closely with the IT department in organizing and creating an environment that makes data and information accessible with appropriate channels of access controls.
3. Work with key internal and external stakeholders as well as departmental leaders and executives toward fostering a relationship of trust, whilst playing an advisory role in the use of data to improve performance and business–wide strategy formulation.

Knowledge and Opportunity

1. Promote the use of industry leading trends and new data management technologies.
2. Advise on data analytic opportunities for the business and ensure data and information compliance with the company policy and external legal requirements.

Key Competencies

1. Knowledge of relevant applications, big data solutions, and tools.
2. Highly skilled in the design, development, and validation of descriptive, predictive, prescriptive, and applied analytics.
3. Leadership skills.
4. Business acumen – An understanding of the business as a whole.
5. Relationship management skills.
6. Communication skills.
7. Presentation skills.
8. Ability to work with conflicting objectives.
9. Strong “can–do” attitude combined with an ability to use minimum resources to get maximum outputs.

Qualifications

1. Master’s degree in Computer Science, Data Science, Management Information Systems, Statistics, Analytics or
2. any other related field
3. A recognized relevant professional qualification

Relevant Experience

1. At least 10 years working experience in a Senior Data Analytics or Data Science position within a fast–paced and complex business setting.
2. Vast experience in building and leading data science organization or practices as well as successful experience in advocating for data analytics value across a business and to diverse audiences.
3. A proven track record in data management and experience with hands–on leadership roles while directly managing data and analytics teams and driving change within a large and complex business set–up.
4. Proven and successful experience in a consulting role for Senior Business Leadership and Executives.