Verisk
Insurance risk analytics and data technology
Manager, Generative AI
About the job
- At least 7 years of industry experience in software engineering, data science, or machine learning, including technical leadership experience.
- At least 2 years of hands-on experience building and delivering Generative AI or large language model solutions, preferably production applications.
- Experience architecting and operating large-scale production software, artificial intelligence and machine learning systems, or data platforms.
- Strong understanding of large language models, embeddings, retrieval-augmented generation, prompt engineering, context management, and modern Generative AI architectures.
- Strong Python skills and experience with modern artificial intelligence, machine learning, and Generative AI frameworks and tooling.
- Experience with cloud-native architectures and production deployment of scalable applications.
- Strong understanding of Generative AI evaluation, testing, monitoring, security, and responsible artificial intelligence practices.
- Ability to translate business requirements into technical solutions and communicate complex technical decisions to engineering and executive audiences.
- A bachelor's degree in Computer Science, Software Engineering, Machine Learning, Data Science, or a related technical field.
- Lead and develop globally distributed engineering teams through hands-on technical leadership, performance management, mentoring, and coaching.
- Lead the architecture, design, development, and delivery of production-grade Generative AI products, ensuring quality, security, scalability, reliability, performance, and cost effectiveness.
- Guide technical decisions involving large language models, retrieval-augmented generation, model fine-tuning or customization, prompt engineering, and agentic artificial intelligence patterns.
- Establish effective approaches for Generative AI evaluation, testing, observability, and production monitoring, including measurement of quality, groundedness, and reliability.
- Evaluate foundation models, artificial intelligence platforms, and emerging technologies and make architecture, model-selection, and build-versus-buy decisions.
- Partner with Product Owners and business stakeholders to translate business needs into technical requirements, architectures, and delivery plans.
- Drive engineering best practices across the Generative AI development lifecycle and resolve complex technical and delivery challenges.
- Communicate technical decisions, tradeoffs, project status, risks, and priorities effectively with engineering teams and senior stakeholders.
- Hands-on experience fine-tuning or adapting large language models, including supervised fine-tuning, LoRA or PEFT, instruction tuning, or related approaches, with experience preparing training datasets and evaluating fine-tuned models against appropriate baselines.
About the company
Verisk provides data analytics and technology solutions for the insurance industry, including risk modeling, fraud prevention, and catastrophe claims data, serving insurers, businesses, and governments worldwide. Its platforms offer subscription-based access to deep data sets and analytics tools, enabling clients to assess exposure, detect fraud, and process catastrophe claims while generating actionable reports. It differentiates itself with a global data pool combined with specialized insurance analytics and consulting services delivered on scalable platforms, with a strong emphasis on sustainability and resilience. Its goal is to help clients manage and mitigate risk, improve operational efficiency, and prepare for climate- and weather-related challenges.
Company Size
5,001-10,000
Company Stage
IPO
Headquarters
Jersey City, New Jersey
Founded
1971
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Simplify's Take
What believers are saying
- Q2 2026 revenue rose 4.3%, while subscription revenue grew 8% organically.
- September 2026 data-center exposure analytics expands Verisk into AI infrastructure underwriting demand.
- CargoNet, XactRestore, and Anthropic integrations deepen daily workflow dependence across carriers.
What critics are saying
- AccuLynx appeal now faces FTC review, delaying closing and burning legal capital through 2027.
- Nick Daffan's July 2026 exit leaves AI platform security and migration leadership interim.
- Moody's RMS, CoreLogic, and open models can commoditize Verisk's data moat by 2027.
What makes Verisk unique
- Verisk owns regulatory-grade underwriting and claims datasets insurers embed into daily workflows.
- Synergy Studio unifies catastrophe modeling, exposure management, and third-party models in one cloud platform.
- Claude MCP connectors made Verisk the first insurance data provider inside Anthropic Claude.
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Benefits
Hybrid Work Options
Growth & Insights and Company News
6 month growth
↑ 16%1 year growth
↑ 17%2 year growth
↑ 17%APA Corporation, an oil and gas exploration and production company operating in the US, Egypt, and the UK North Sea, has been highlighted for its strong fundamentals. The company posted a 40% operating margin and demonstrated 4.8% annual revenue growth over the past decade, exceeding sector averages. APA's revenue base stands at $8.37 billion, with a gross margin of 67.7%. Meanwhile, Verisk Analytics and Bunge Global were flagged as questionable investments despite profitability. Verisk showed 1.7% annual sales growth over five years, whilst Bunge Global faces flat demand forecasts and a 5.4% gross margin. APA trades on NASDAQ, Verisk at $175.53 per share, and Bunge Global at $115.00 per share.
Verisk Analytics CEO Lee Shavel sold 2,500 shares of common stock for $550,000 on 29 July 2026, according to an SEC filing. The shares were sold at a weighted average price of $220.00. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan adopted by Shavel in December 2025. Such plans allow company insiders to sell predetermined numbers of shares at set times whilst avoiding concerns about trading on material non-public information. Following the sale, Shavel retains a direct position of 98,490 shares in the company. Verisk Analytics has a market capitalisation of $26.3 billion and reported trailing twelve-month revenue of $3.1 billion. The company provides data analytics and predictive insights for risk assessment across insurance, banking, and financial services sectors.
Verisk Analytics announced that Executive Vice President and Chief Information Officer Nick Daffan has stepped down after approximately two decades with the company. The Chief Technology Officer will assume Daffan's responsibilities on an interim basis whilst Verisk evaluates longer-term leadership plans for the role. Verisk focuses on data analytics and risk assessment services across insurance and other sectors. Technology leadership is closely connected to how effectively the company can build, maintain, and secure its data platforms. In the second quarter of 2026, Verisk reported sales of $806.3 million and net income of $228.6 million. Management reaffirmed full-year 2026 revenue guidance of $3.19 billion to $3.24 billion and maintained dividend guidance at $2.00 per share.
Verisk reported second-quarter 2026 diluted adjusted earnings of $1.98 per share, beating estimates of $1.94 by 2.1%. Revenues reached $806.3 million, topping consensus of $802.4 million and rising 4.3% year over year. Underwriting revenues increased 3.5% to $569 million, driven by annual price increases and expanded catastrophe solutions. Claims revenues rose 6.3% to $237 million, led by anti-fraud analytics and restoration solutions. Adjusted EBITDA grew 4.2% to $463.6 million, with the margin at 57.5%. However, GAAP net income fell 9.8% to $228.6 million due to higher tax rates and increased interest expenses. Free cash flow surged 57.9% to $297.9 million.
Maven Capital Partners (“Maven”) has completed a profitable realisation from McKenzie Intelligence Solutions (“MIS”), a geospatial intelligence and event