Data & BI Engineer at Jubilee Insurance

Job Ref. No. JLIL072

Role Purpose

The role holder will be responsible for designing and delivery of a Data and BI engineering solutions to support the implementation of IFRS 17 developments, integrations and changes on Jubilee’s long term and short-term core business systems across the East African region and across multiple instances of UAT environments and production to meet IFRS 17 requirements. The role holder will leverage on strategic planning, business analysis and technical knowledge of data engineering, tools, and data architecture definition and align these to meet IFRS 17 requirements.

Main Responsibilities

• Ensure IT infrastructure including the cloud computing required for IFRS 17 is readily available and functioning optimally across the region
• Using architectures, data and BI engineering techniques to design and provide tools dedicated to data extraction, transformation, Loading, analysis, and enhancement with regards to IFRS 17 requirements.
• Ensure data fields required by the various systems for actuarial valuation and financial reporting are available and
• in the required formats.
• Carry out daily inter-system data validation to ensure data completeness, accuracy and credibility of data stored within and between the systems.
• Put controls within the systems to enforce 100% compliance with data requirements with regards to IFRS 17 across the region.
• Redesign and continuously customize the BI reports for IFRS 17 purposes as guided.
• Contribute to build & maintain the global database to ease exploitation of data.
• Take part in the strategic alignment of IFRS 17 to Group’s Data Strategic plans.
• Ensure compliance with policies related to Data Management and Data Protection, in close relationship with the Data Protection Officer, Security & Risk regulation teams
• Create all required IFRS 17 reports as guided.
• Ensure regular system review to identify any discrepancies during and after system implementation regionally.
• Lead and execute a systems integration between the core policy administration systems, actuarial system & IFRS

Key Competencies

• Entrepreneur Spirit
• Customer Focus
• Continuous Innovation
• Ownership & Commitment
• Team Spirit

Qualifications

• Bachelor’s degree in Statistics, Software Engineering, Engineering, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.
• Python/R integration (preferred)

Relevant Experience

• Technical knowledge of core insurance system solutions pertaining Life, Pension & Health insurance operations.
• Ability to coordinate and handle server, database, data storage and general IT architectural designs.
• Proven experience (5+ years) writing complex SQL / NoSQL statements and ETL processes
• A minimum of 5 years’ experience in BI developments with a preference for the finance or insurance industry.
• Proven experience (3+ years) on Big Data technologies such as Hadoop, Spark, Elastic, etc.
• Development & coding design in parallelized/distributed environments, preferably in cloud environment (AWS / Azure)