Life Insurance Jobs in Hong Kong

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best in class career development highly motivated highly successful team proven sales record in IBM’s top technologies

Senior Managing Data Consultant – Insurance

Company: IBM

Location: HK Hong Kong

Posted Oct 31, 2023

The job posting is for a Business Sales & Delivery Executive role at IBM, focusing on growth through business development, sales account management, and delivery skills. The role involves managing client and project delivery, providing recommendations on data management and IoT technologies, leading work streams, and overseeing project quality. The ideal candidate should have a degree in Computer Science, Information Systems, or Engineering, with a minimum of 8 years of experience in large-scale project delivery. They should have excellent technical skills in data and analytics, experience in cloud technologies, and a proven track record in delivering cloud-native data/IoT platform solutions. Familiarity with Data Science concepts and strong integration experience with SAP-ERP MES Assets Management solutions are also preferred.

View Details Apply on IBM

Frequently Asked Questions

What are typical salary ranges by seniority in Life Insurance tech roles?
Entry‑level Actuarial Analysts earn $70k–$90k; mid‑level analysts $90k–$120k; senior analysts or data scientists $120k–$160k; directors and VP‑level roles range $160k–$220k, often with bonus and equity components.
What skills and certifications are required?
Actuarial exams (SOA/ CAS), CPCU, or CFA; proficiency in SAS, R, Python, SQL; data visualization with Tableau or Power BI; Salesforce and API integration for underwriting; knowledge of Solvency II, Dodd‑Frank, and ESG reporting frameworks.
Is remote work available for Life Insurance tech positions?
Yes—many firms offer fully remote or hybrid models for analytics, software engineering, and product roles. Typical policies allow 3–5 remote days per week, with optional in‑office meetings for cross‑functional collaboration.
What career progression paths exist in Life Insurance tech?
Start as an Actuarial Analyst or Data Scientist, advance to Senior Analyst or Automation Engineer, then to Manager or Lead Analyst, followed by Director of Analytics or VP of Technology, and ultimately Chief Data Officer or Chief Actuary.
What industry trends are shaping Life Insurance tech?
AI‑driven underwriting, real‑time pricing engines, micro‑insurance platforms, ESG risk modeling, regulatory tech (RegTech) for compliance, automated claims processing, and blockchain for policy lifecycle management.

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