Microinsurance platform for underserved Peruvian populations
Protecta Insurance is Peru's first microinsurance company, operating a 201–500-person organization headquartered in Lima with a tech stack built on Python, AWS, Azure, and GCP for analytics and automation. The hiring pattern—finance-heavy (6 roles), engineering-focused (4 roles), and skewed toward interns and mid-level staff—reflects a scaling operation moving from manual processes into automated risk-calculation and modeling systems, supported by active infrastructure leadership hires.
Notable leadership hires: Project Infrastructure Lead
Protecta Insurance designs and distributes microinsurance products tailored for mass-market access in Peru. Founded in 2007, the company operates across multiple insurance categories including life insurance, annuities, SOAT (auto liability), life insurance with loan protection, occupational hazard coverage, and investment-linked products. Distribution runs through strategic partnerships rather than direct sales channels. The company's operational focus centers on regulatory reporting, product portfolio optimization, and digital process improvement—reflecting the operational demands of a regulated insurance operator managing complex underwriting and claims workflows.
Protecta Insurance operates in Peru, specifically targeting underserved populations with accessible microinsurance products. Headquarters: Surquillo, Lima. Founded 2007.
Python, AWS, Azure, GCP for cloud infrastructure; Power BI and Tableau for analytics; Jenkins, Postman, Selenium for testing; Pandas, NumPy, scikit-learn for data modeling; Visual Studio Code for development.
Protecta Insurance Company's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.