Verisk Analytics Jobs (NOW HIRING)

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture.

We're 7,000 people strong.  We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

 Verisk Businesses

Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Catastrophe and Risk Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.

Marketing Solutions - delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement

Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

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Required Experience

• 8-12+ years in software engineering or systems development
• 5+ years leading complex delivery through other engineers (formal or informal leadership)
• Proven track record leading engineering teams that have fully leveraged AI tools (Copilot, Cursor, Claude, Kiro, etc.) as a first-class part of SDLC, with demonstrated productivity gains in code generation, code review, and testing
• Hands-on experience with large, high-transaction data systems, including RDBMS-centric architectures (Oracle strongly preferred)
• Proven exposure to:
  • Production change control
  • Incident response
  • Data integrity and operational risk
• Experience operating in regulated or audit-bound environments (SOC 2-like rigor is a strong positive)

Nice To Have

• Insurance, fintech, or government-adjacent systems
• Cloud + legacy hybrid environments
• Transitioning teams through role ambiguity and operating-model change
• Prior responsibility spanning engineering + DevOps + platform operations

Technical Skills

• Experience designing systems that fully exploit the benefits of AI, leveraging agentic workflows, AI orchestration, prompt and context engineering, RAG, and MCP
• Evaluate architectural tradeoffs objectively
• Ask the right technical questions of tech leads
• Understand database-centric performance and scalability drivers
• Participate meaningfully in risk, incident, and readiness discussions

Leadership Skills

• Actively hires and upskills talent to thrive in the rapidly evolving AI landscape, normalizing AI-assisted development as a baseline expectation
• Creates autonomy through clarity, not control
• Exercises strong judgment in delegation, intentionally deciding when to lead, when to empower, and when to step in
• Is comfortable with tech leads owning design and implementation while providing constraints, risk signals, and organizational context
• Can operate calmly when:
  • Expectations are misaligned
  • Authority boundaries are shifting
  • Organizational memory is inconsistent
• Actively coach and develop senior engineers
• Recognize burnout and sustainability risks early
• Be able to "manage up" without becoming adversarial
• Communicate candidly but with emotional intelligence

Operational Excellence

The candidate must excel at:

• Turning ambiguity into minimal, visible operating guideposts
• Maintaining forward motion when priorities compete
• Balancing long-term platform health against short-term delivery pressure
• Coordinating across product, DevOps, security, and compliance without creating friction

#LI-LM03
#LI-Remote

They are a force-multiplier development manager who:

• Leads engineering teams that have fully embraced AI tooling as a first-class part of the SDLC
• Stabilizes and scales complex, compliance-sensitive platforms
• Enables strong tech lead autonomy without losing accountability
• Translates ambiguous organizational intent into clear guardrails, priorities, and operating norms
• Drives delivery across product, engineering, DevOps, and compliance