Job Description

Role Purpose

Deliver hands-on actuarial production work as an individual contributor, supporting the Manager across reserving, regulatory reporting, pricing support and claims analytics. Run the technical grunt-work of the cycle data extraction, triangulation, model runs, template population, reconciliations to high accuracy and on time. Act as the entry-point into the actuarial profession: progress foundational actuarial exams, build technical craft, learn cross-functional context, and prepare to step up into a Manager role.

1-Reserving Production Support

Extract, clean and reconcile claims, premium and exposure data from source systems for the reserving cycle.
Run triangulations, basic development factor calculations and link-ratio analyses under Manager direction.
Execute reserving model runs (IBNR, URR, LRC, LIC, risk adjustment) per the approved methodology and templates.
Populate reserving pack sections, movement tables and supporting schedules.
Flag data anomalies, outliers and unusual patterns to the Manager for review.

2-Regulatory Reporting & AA Data Preparation

Populate SAMA, CCHI and CMA submission templates under Manager review.
Reconcile regulatory outputs to the reserving pack, management reports and GL.
Prepare data extracts, working papers and evidence packs for the external Appointed Actuary (Lux).
Maintain version control and the submissions evidence file for each reporting cycle.
Track regulatory deadlines on the team calendar and prompt ahead of cut-offs.

3-Pricing, Claims & Operations Analytics Support

Support pricing calculations for group renewals, SME and Retail as directed.
Run loss-ratio, frequency, severity and utilization analyses by segment, cohort and benefit.
Produce hands-on claims analytics for Operations: unit cost, network leakage, age / mix decomposition, pre-auth impact tracking.
Refresh the Operations dashboards and medical inflation monitoring tools each cycle.
Respond to ad-hoc analytical requests from the Manager and partner teams within agreed timelines.

4-Modelling, Data & Automation

Build and maintain supporting models in SAS, Python, R or Excel under Manager direction.
Automate recurring analysis and reporting tasks to reduce manual effort.
Contribute to data quality improvements, reconciliation routines and issue logs.
Run validation and reasonableness checks on own outputs before handover for review.
Document code, assumptions, inputs and outputs clearly to enable peer review.

5-Documentation & Governance

Maintain working papers, methodology notes and change logs to audit-ready standard.
Apply doer-checker discipline and peer-review protocols on all outputs.
Support internal audit, external audit and Appointed Actuary reviews by providing working papers on request.
Keep the team's data-definition and methodology library up to date for own workstream.
Participate in process-improvement initiatives and knowledge-transfer sessions.

6-Professional Development & Cross-Functional Learning

Progress foundational actuarial exams (SOA / IFoA / CAS) on the Company-supported pathway.
Build cross-functional understanding of Underwriting, Claims, Pre-Auth, Operations and Finance through rotations, shadowing and cross-training.
Actively participate in knowledge-transfer sessions, training and mentoring from senior members.
Develop technical craft in SAS, Python, R, SQL, Excel and IFRS 17 tooling.
Build strong working relationships with peers across the actuarial team and partner functions.

Skills

Working knowledge of SAS, Python, R, SQL and advanced Excel.
Strong analytical and problem-solving skills.
Clear technical writing and documentation discipline.
High attention to detail and ownership of work quality.
Eagerness to learn, ask questions and progress professionally.
Good interpersonal skills and team-first attitude.

Education

Actuarial Science or Applied Mathematics

Actuarial (COOP/Tamheer)