Intern - Actuarial (COOP/Tamheer)

About This Role

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