Client Intro:
Our client is a global leader in consulting, technology services, and digital transformation. With a focus on innovation and sustainability, they offer a wide range of solutions to help businesses thrive in the rapidly evolving digital landscape, delivering value to clients across various industries worldwide.
Job Responsibilities:
▪ Conversion of existing Python scripts (in AWS) specific to Life and Health Actuarial teams to Google Big Query SQL.
▪ Testing of the rewritten Big Query SQL logic and sign-off, upon alignment with Actuarial teams.
▪ Document the requirement, ETL logic, testing plan and test results.
Business Responsibilities
▪ Work closely with finance and actuarial team enterprise architecture team, application development team to understand the applications workflow and requirement, integration pattern with finance cloud platform.
▪ Conduct business analysis by eliciting, interpreting and analyzing the requirements from actuarial teams and producing specification of actuarial metrics & analysis.
▪ Act as main liaison between business/actuarial teams and technical delivery team to drive realization of actuarial processes into proper execution, change management and BAU activities.
▪ Create and maintain accurate and up to date documentations.
▪ Support the migration of pricing tools in terms of technical accuracy and efficiency.
▪ Support the actuarial control cycle through assisting the valuation team in the reserving exercise and strategic planning exercise.
▪ Provide monitoring updates on profitability trends to senior stakeholders. This includes inflation studies, actual vs expected studies for all products, understanding the key profitability/loss drivers and providing recommendations.
Job Requirements:
▪ Must have high technical proficiency with Python and Google Big Query SQL skills.
▪ Present actuarial recommendations and reports to senior management, effectively translate complex actuarial codes in a clear and concise manner.
▪ Highly experienced within Life or Health Insurance domain, preferably within 2-3 years’ experience.
▪ Business Intelligence/Data Warehousing/ETL experience.
▪ Excellent analytical skills, with the ability to analyze complex data sets and derive actionable insights.
▪ Detail-oriented mindset, focusing on accuracy and precision in actuarial
calculations and analyses.
Next Step:
Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package. Simply click on 'Apply here' to drop your resume or email at [email protected].
Susmita Sahu
EA License No: 91C2918
Personnel Registration Number: R23114076
