Verisk

Backend Engineer

• Investigate and resolve data quality issues across multiple systems
• Develop ETL processes, data migrations and reconciliation solutions to ensure data integrity
• Contribute to database design, performance, security, backup and compliance standards
• Work within the SDLC using Git source control, JIRA and CI/CD pipelines
• Manage database access, security and availability requirements
• Use AI-assisted development tools

Database Developer

Data Engineer

• Design, build, and optimize cloud-native data platforms on AWS, including data lakes, data warehouses, and analytics stores.
• Collaborate with BI and analytics platform vendors and internal teams to support production issues, upgrades, and platform enhancements.
• Document data sources on client project and perform gap analysis and identify inflow of bad data into Cloud data warehouse and develop recommendations
• Development of database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications to internal and external stakeholders
• Work closely with ETL/ELT team for implementing data transformation requirements into the cloud data warehouse.
• Plan and track delivery commitments, ensuring predictable and high-quality outcomes.
• Partner with product owners, architects, and stakeholders to prioritize work and manage expectations.
• Contribute to hiring by participating in interviews and technical assessments

Senior Data Engineer

AI Engineer

• Lead the technical design and delivery of complex, multi-component AI systems across our enterprise data platform.
• Define architectural patterns and engineering standards for AI development — RAG, agents, LLM integrations, and MCP-based enterprise connectivity.
• Drive secure, scalable integrations between AI models and enterprise data systems including Snowflake, AWS (SageMaker, Bedrock, S3), and ThoughtSpot.
• Own end-to-end AI solution quality — including evaluation frameworks, monitoring pipelines, cost governance, and production reliability.
• Lead cross-functional collaboration with data engineers, platform architects, and business stakeholders to shape requirements and validate solutions.
• Mentor and coach junior and mid-level engineers, conducting substantive code reviews and contributing to team technical growth.
• Champion AI governance standards — security, data access, PII, prompt injection, and responsible deployment practices.
• Proactively identify and resolve technical risks and architectural gaps; communicate escalations clearly to engineering leadership.
• Contribute to hiring processes — interviewing candidates and helping define role expectations.
• Lead knowledge-sharing sessions and represent the team in technical discussions with senior stakeholders.

Senior Gen AI Software Engineer

• Understand functional and technical requirements for VSS Financial model components
• Design, implement, and unit test new features and bug fixes in C++
• Optimize code for performance, reliability, and scalability
• Develop and maintain multi-threaded application components
• Collaborate with senior engineers and cross-functional teams to deliver quality software

Software Engineer – C++

QA Engineer

• Ability to retain in depth knowledge of Verisk Rating and ERC Rating offerings**• Developing and implementing testing strategies, plans, and procedures for insurance manual updates for supported lines within ERC**• Identifying and reporting defects and issues to the development team and tracking them through to resolution.**• Collaborating with cross-functional teams to ensure that help deliver quality features with efficiency.**• Knowledge of API technology and API requests**• Troubleshoot issues and solve problems, identify potential process improvement**• Production support for answering questions around ERC product offering**• Ability to work independently and within Team environment **• Work with management to develop performance basis measurements and complete all defined responsibilities**• Completes all responsibilities as outlined on annual Performance Plan.

Validation Test Analyst

Account Manager

• Own a defined portfolio with clear responsibility for revenue, retention, and expansion
• Build and execute structured account plans that support multi‑year client growth
• Proactively identify, qualify, and convert upsell and cross‑sell opportunities across Maplecroft’s data, platform, and advisory solutions
• Lead client relationships, engaging stakeholders from all levels up to C‑suite
• Operate with urgency, discipline, and accountability, maintaining a strong pipeline and accurate forecasts
• Represent Maplecroft confidently in executive meetings, client offices, and industry forums

Senior Account Manager

Product Manager

• Contribute to defining the multi year product vision and roadmap, using structured various internal and external inputs (voice of the customer, sales feedback), market analysis, and competitive insight.
• Help prioritize roadmap initiatives to support revenue growth, profitability, and strategic relevance.
• Identify emerging industry and market trends and translate them into clear, commercially viable product requirements and enhancement opportunities.
• Support the development and launch of new products, features, and capabilities, as well as the continuous improvement of existing offerings.
• Act as a product subject matter expert (SME) with existing and prospective customers, supporting both sales and relationship management efforts.
• Develop and deliver customer presentations, demos, proofs of concept, and product collateral that clearly articulate product value and use cases.

Risk

• Provide day-to-day support to clients, helping them use Verisk’s software platforms (Touchstone, Touchstone Re, any other Verisk products).
• Respond to client questions promptly and work collaboratively with internal teams to resolve issues.
• Conduct training sessions for new clients, covering workflow design, model results interpretation, and addressing adoption challenges.
• Perform a wide range of risk analyses for consulting projects and client support, using catastrophe modelling software Touchstone/Re.
• Analyze client exposure data against different perils and quantify natural catastrophe risk.
• Understand and interpret losses, preparing various reports tailored as per client requirements.
• Assign tasks to team members and manage workflow in the absence of the Team Lead/Manager.
• Prepare reports summarizing activities and any pending tasks.
• Continuously update knowledge on insurance and reinsurance business, catastrophe modeling software, and industry best practices.

Senior Risk Consultant – CAT Modelling

Full-stack Engineer

• Lead system design and architectural decisions for complex desktop applications
• Define and enforce best practices around design patterns, clean architecture, and OOP principles
• Ensure scalability, maintainability, and performance of applications
• Provide technical direction and review designs across multiple features or modules
• Drive standardization of architecture and reusable frameworks/components
• Own delivery of large, complex features or initiatives end-to-end
• Work closely with Product, Design, and QA to shape requirements and technical feasibility
• Translate business goals into robust, scalable technical solutions
• Ensure predictable delivery with high quality, reliability, and performance
• Establish and track engineering metrics (quality, performance, delivery timelines)
• Develop high-quality applications using .NET 8/10, C#, WPF/WinForms or similar desktop frameworks
• Apply advanced knowledge of design patterns (e.g., MVVM, SOLID, etc.) in real-world implementations
• Drive code quality through clean coding standards, reviews, and refactoring initiatives
• Resolve complex technical challenges and performance bottlenecks
• Mentor and coach engineers across levels (junior to senior)

Lead Engineer

Business Analyst

• Learn and apply business analysis principles, methodologies, and best practices
• Build an understanding of how our software products support insurance and reinsurance business processes
• Assist with configuring applications to meet client requirements
• Support software delivery and client implementation projects
• Gather, analyze, document, and refine business and system requirements
• Help create specifications, user stories, and acceptance criteria
• Work closely with analysts, developers, testers, project managers, and product owners to ensure requirements are clearly understood
• Assist with documenting and describing new product features and enhancements
• Support the investigation and resolution of product defects and client-reported issues
• Produce functional, process, and user documentation
• Participate in User Acceptance Testing (UAT) activities
• Collaborate with internal and external stakeholders throughout the project lifecycle
• Contribute to continuous improvement initiatives across products, processes, and delivery practices

Junior Business Analyst

• Architecture, design, build, and maintain scalable backend and frontend solutions.
• Collaborate with cross-functional and remote teams to deliver high-quality software.
• Contribute to architectural decisions and establish best practices.
• Write clean, efficient, and well-documented code.
• Ensure comprehensive testing and robust unit test coverage across the stack.
• Participate in code reviews, architecture discussions, and agile ceremonies.
• Troubleshoot and resolve technical issues across the stack.
• Continuously learn and apply new technologies to improve our systems and processes.

Technical Lead – Java Full Stack

Advisor

• Design and deliver AI-enabled, modular, and self-directed learning and skill-based development experiences aligned to Verisk’s talent and business priorities.
• Ensure learning experiences are connected to Verisk’s Skills Framework, career pathways, and development philosophy.
• Translate evolving skills, AI, and learning concepts into scalable and repeatable experiences that support behavior change and adoption.
• Research, analyze, and consult on skills and learning data to inform enterprise career pathways and talent recommendations using Oracle HCM and related tools.
• Apply systems thinking to connect skills data, learning experiences, and talent outcomes across the employee lifecycle.
• Partner with Talent Development and HR leadership to evolve Verisk’s approach to skills-based development using internal insights and external best practices.
• Lead change management for AI-related learning initiatives, enabling leaders, HR, and employees to adopt new tools, mindsets, and behaviors.
• Develop practical tools, playbooks, and guidance that enable Talent Advisors and HR Business Partners to support skill growth, career development, and talent actions.

Senior Advisor, Learner Experience, Change

• Driving the strategic vision and execution of product initiatives
• The expansion of the technology that connects partners to our mutual customers
• Understanding and optimizing the interconnected systems within the Verisk Ecosystem
• Overseeing the development, management, and execution of product strategies
• Ensuring meticulous planning and execution of product roadmaps

Director of Product Ownership – ClaimSearch

• Own and manage the enterprise AI use case intake, triage, and governance workflow across Verisk.
• Serve as the primary governance contact for teams submitting AI use cases to the AI Governance Board for approval.
• Guide requesting teams through required documentation, registry metadata, risk assessment, stakeholder review, control requirements, approval steps, and ongoing governance obligations.
• Evaluate AI use cases for completeness, business purpose, data sensitivity, customer or regulatory impact, model/system risk, third-party involvement, and readiness for governance review.
• Track AI use cases from intake through triage, review, approval, implementation, monitoring, remediation, and closure.
• Serve as Verisk's business owner and day-to-day operational lead for the AI Governance Platform.
• Lead the internal side of the AI Governance Advisory engagement, including readiness activities, workshop participation, documentation requests, stakeholder coordination, deliverable review, and follow-up actions.
• Maintain AI use case inventory, workflows, intake forms, questionnaires, assessments, risk classifications, stakeholder reviews, approval records, evidence, controls, remediation items, and reporting in the AI Governance Platform.
• Partner with the AI Governance tool vendor and internal teams to configure and validate workflow stages, questionnaires, automations, conditional routing, risk types, risk scenarios, policy packs, controls, reports, and self-service intake capabilities.
• Administer and coordinate AI Governance Board operations, including agenda planning, meeting scheduling, presentation preparation, decision logs, minutes, record keeping, and follow-up actions.
• Translate the stakeholder operating model into clear roles, responsibilities, review expectations, escalation paths, and handoffs at both program and use-case levels.
• Prepare AI use cases for board review by developing concise summaries, risk profiles, issue logs, stakeholder input, open questions, and recommended decision points.
• Track board decisions, conditions of approval, exceptions, remediation items, escalations, unresolved risks, and required evidence.
• Coordinate with Legal, Privacy, Compliance, Information Security, Data Governance, Procurement, Vendor Management, Third-Party Risk, Enterprise Risk, Technology, Audit, and business stakeholders to ensure reviews are timely and complete.
• Support the AI Governance Board and cross-functional teams to implement Verisk’s AI governance policies, standards, procedures, templates, and guidance.
• Support Verisk's global AI governance strategy and help ensure AI systems are developed, deployed, and monitored in a responsible and transparent manner consistent with Verisk's Ethical AI Policy.
• Maintain AI governance framework components, including intake standards, risk assessment criteria, questionnaire logic, inventory requirements, stakeholder routing, approval standards, reporting processes, and control documentation.
• Partner with Legal, Compliance, Privacy, Information Security, Procurement, and Third-Party Risk on policy mapping, vendor AI addenda inputs, policy-pack interpretation, and control expectations, while ensuring formal legal and policy decisions remain with the appropriate owners.
• Develop recurring and ad hoc AI governance reporting for the CDO office, AI Governance Board, senior leadership, risk committees, business stakeholders, and other internal audiences.
• Translate AI Governance reporting outputs into stakeholder-ready views that show governance status, reviewer actions, pipeline trends, risk tiers, open issues, and executive decision points.
• Track and report key metrics such as AI use case volume, review status, approval cycle time, risk tiering, business unit participation, stakeholder review status, remediation items, policy exceptions, audit findings, and board decisions.

Director, AI Governance Lead

• Set the technical direction for AI engineering across the organization — establishing architecture principles, technology choices, and long-term capability roadmap.
• Own the design of the most complex, strategic AI initiatives — from early ideation through production delivery and ongoing evolution.
• Define and enforce engineering standards for AI systems: security, scalability, evaluation, observability, and governance.
• Lead enterprise AI integration strategy — connecting AI models to Snowflake, AWS, ThoughtSpot, and broader data ecosystems via MCP and custom integrations.
• Act as the primary technical authority on LLM systems, agentic architectures, RAG, and emerging AI frameworks within the organization.
• Drive cross-functional alignment between engineering, data, product, and business teams on AI strategy and priorities.
• Champion AI governance at the organizational level — data access, PII, security, cost controls, and responsible deployment.
• Lead code reviews and technical design reviews across teams; elevate the overall quality and consistency of AI engineering practice.
• Present technical vision and AI strategy to senior leadership and external stakeholders.
• Build and scale the AI engineering function — mentoring principals-in-training, defining levelling criteria, and contributing to hiring and team structure.
• Represent Verisk AI engineering externally — thought leadership, technical writing, or industry engagement where relevant.