Data Scientist

Overview

JOB TITLE: Data Scientist / Pricing Officer

DIVISION: Finance

DEPARTMENT: AXAPH FI Actuarial

LOCATION: GT Tower International

REPORTING TO (ROLE): GI Pricing Director

NUMBER OF DIRECT REPORTS: 0

MAIN PURPOSE OF THE JOB: Support the growth of General Insurance business by developing and managing actuarial database and reporting, and performing pricing processes adherent to AXA’s Product Pricing guidelines.

• Develop, document, and maintain GI Actuarial database, pipelines, and scoring engines to support pricing initiatives
• Conduct simple or advanced data analysis using statistical techniques and data mining methods to identify trends, patterns, and insights
• Provide technical support for product initiatives and campaigns, capacity to realize the tradeoff between growing business and profitability.
• Recommend premium rates for new and existing products that are aligned with AXA’s product standards and profitability requirements.
• Recommend assumptions appropriate for new and existing products.
• Develop pricing models consistent with product features and assumptions.
• Generate profitability and sensitivity results and analyze key product risks.
• Provide assistance in product design changes to increase market competitiveness.
• Monitor profitability and key risks of AXA’s product portfolio and recommend repricing or product pull-out if required

Internal and external, including regulators, industry association, and auditors

• Bachelor’s Degree (Master's would be an advantage) in a quantitative field such as Statistics, Mathematics, Computer Science, Actuarial Science or a related discipline.
• Near Associate or Associate level of a recognized actuarial institute would be an advantage.
• At least 3 to 5 years work experience in business-oriented teams (GI or retail insurance would be an advantage)
• Strong problem-solving skills with the ability to think critically and strategically about business challenges
• Experience in data engineering and modeling using SQL, Databricks, etc.
• Experience using at least one programming language required (SQL, SAS, Python, R, etc)
• Can collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Strong presentation and storytelling skills, with the ability to convey complex technical concepts to non-technical stakeholders