We're looking for a Senior Car Insurance Pricing Expert to help shape how our company prices risk across our global business, from our Tel Aviv office.
This isn't a traditional actuarial role. You'll sit at the intersection of Insurance, Data Science, Product, Engineering, and Business Strategy on our Insurance team, owning hard pricing and risk-management problems end to end. That means finding opportunities, designing better approaches, building scalable tools with technical teams, and turning insights into decisions that move growth, profitability, and risk selection forward.
You might be a trained actuary, a pricing leader, a decision scientist, or a technically strong insurance operator who's built serious pricing capabilities. Formal credentials are a plus, but they're not the point. The point is whether you can use data, insurance intuition, statistical rigor, and AI-enabled tools to solve complex pricing problems better and faster than the industry standard.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Own and evolve core components of our company's Car pricing strategy, bringing analytical rigor and product-minded creativity to how we price risk
Identify high-leverage opportunities across rating, underwriting, segmentation, risk selection, growth, profitability, and portfolio management
Build, evaluate, and improve Car pricing and risk models using actuarial methods, machine learning, AI-enabled workflows, and strong business judgment
Partner with Data Science, Product, Engineering, Finance, and Growth to turn pricing ideas into scalable capabilities
Translate complex pricing problems into clear product and platform requirements, helping teams build internal tools that make better decisions faster
Define and track key metrics – loss ratio, rate adequacy, conversion, retention, segmentation lift, and model performance – to keep decisions grounded in real impact
Make complex actuarial and pricing concepts clear and actionable for technical and non-technical audiences alike, and help build pricing acumen across the Tel Aviv team.
This isn't a traditional actuarial role. You'll sit at the intersection of Insurance, Data Science, Product, Engineering, and Business Strategy on our Insurance team, owning hard pricing and risk-management problems end to end. That means finding opportunities, designing better approaches, building scalable tools with technical teams, and turning insights into decisions that move growth, profitability, and risk selection forward.
You might be a trained actuary, a pricing leader, a decision scientist, or a technically strong insurance operator who's built serious pricing capabilities. Formal credentials are a plus, but they're not the point. The point is whether you can use data, insurance intuition, statistical rigor, and AI-enabled tools to solve complex pricing problems better and faster than the industry standard.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Own and evolve core components of our company's Car pricing strategy, bringing analytical rigor and product-minded creativity to how we price risk
Identify high-leverage opportunities across rating, underwriting, segmentation, risk selection, growth, profitability, and portfolio management
Build, evaluate, and improve Car pricing and risk models using actuarial methods, machine learning, AI-enabled workflows, and strong business judgment
Partner with Data Science, Product, Engineering, Finance, and Growth to turn pricing ideas into scalable capabilities
Translate complex pricing problems into clear product and platform requirements, helping teams build internal tools that make better decisions faster
Define and track key metrics – loss ratio, rate adequacy, conversion, retention, segmentation lift, and model performance – to keep decisions grounded in real impact
Make complex actuarial and pricing concepts clear and actionable for technical and non-technical audiences alike, and help build pricing acumen across the Tel Aviv team.
Requirements:
8+ years of experience in Car insurance pricing, actuarial science, decision science, risk analytics, or a closely related field
A proven track record solving complex pricing, underwriting, segmentation, or risk-management problems with measurable business impact
Strong analytical instincts – knowing how to find signal in data, make decisions under uncertainty, and separate elegant analysis from useful analysis
Hands-on fluency with modern analytical tools, agentic AI capabilities, and code – including experience using generative AI, coding agents, or advanced automation to materially improve analytical workflows
Solid understanding of Car insurance pricing fundamentals, including rating plans, loss costs, rate adequacy, segmentation, model validation, telematics and financial performance.
Familiarity with predictive modeling methods such as GLMs, gradient boosting, random forests, clustering, and feature engineering
Experience building or modernizing pricing platforms, rating engines, underwriting tools, or internal decision-support software
Product-minded problem solving: the ability to turn a messy workflow, technical constraint, or business problem into a clear, prioritized path forward – with a track record of partnering with Product and Engineering teams to ship production-grade tools.
8+ years of experience in Car insurance pricing, actuarial science, decision science, risk analytics, or a closely related field
A proven track record solving complex pricing, underwriting, segmentation, or risk-management problems with measurable business impact
Strong analytical instincts – knowing how to find signal in data, make decisions under uncertainty, and separate elegant analysis from useful analysis
Hands-on fluency with modern analytical tools, agentic AI capabilities, and code – including experience using generative AI, coding agents, or advanced automation to materially improve analytical workflows
Solid understanding of Car insurance pricing fundamentals, including rating plans, loss costs, rate adequacy, segmentation, model validation, telematics and financial performance.
Familiarity with predictive modeling methods such as GLMs, gradient boosting, random forests, clustering, and feature engineering
Experience building or modernizing pricing platforms, rating engines, underwriting tools, or internal decision-support software
Product-minded problem solving: the ability to turn a messy workflow, technical constraint, or business problem into a clear, prioritized path forward – with a track record of partnering with Product and Engineering teams to ship production-grade tools.
This position is open to all candidates.
