Jobs at Origami Risk

Positions 315,240

Origami Risk is a leading risk analytics platform that empowers insurers, banks, and corporate risk teams with real‑time data, AI‑driven insights, and scenario modeling. Founded in 2003, it has grown into a global SaaS firm headquartered in San Francisco, delivering modular solutions that map financial risk across markets, supply chains, and ESG factors.

Candidates can expect roles in software engineering, data science, product management, solutions engineering, and client success. Engineers work on scalable microservices, integrate third‑party APIs, and build predictive models. Product managers shape the roadmap for risk dashboards, while data scientists extract actionable insights from market feeds. All positions emphasize cross‑functional collaboration, rapid iteration, and a culture that rewards analytical rigor.

By browsing Origami Risk listings on Job Transparency, you gain instant access to real‑time salary ranges, employee sentiment scores, and company reviews. This transparency lets you benchmark offers, negotiate informed salaries, and choose roles that match both your career goals and compensation expectations.

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Frequently Asked Questions

What is it like to work at Origami Risk?
Employees describe a fast‑moving environment where data science meets business impact. The company prioritizes mentorship, offers flexible remote options, and encourages cross‑team collaboration. Regular hackathons, quarterly learning sessions, and a clear focus on skill development create a culture that rewards curiosity and analytical rigor.
What types of positions are available at Origami Risk?
Open roles span software engineering (full‑stack, backend, DevOps), data science and analytics, product management, solutions engineering, client success, and business development. Many positions require strong programming skills, experience with cloud platforms, and an understanding of financial risk concepts.
How can I stand out as an applicant for Origami Risk?
Showcase hands‑on experience with data pipelines, predictive modeling, or SaaS deployments. Highlight projects that solved real‑world risk problems and quantify results. Demonstrate familiarity with the insurance or banking domain, and express a genuine interest in shaping risk analytics tools. Tailor your resume to emphasize cross‑functional impact and provide a portfolio or code samples that illustrate your technical depth.

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