Travelers

Actuary

• Hold a lead role in strategic planning as well as manage the successful execution and completion of assigned strategic initiatives and projects.
• Develop solutions to resolve challenges of an initiative.
• Propose change and innovation in order to improve project team performance and timelines.
• Independently perform actuarial and analytic analyses to solve business problems and apply judgment appropriately.
• Drive day to day execution within unit.
• Support broad department initiatives.
• Begin to promote efficiency across primary working group, balancing additional effort against incremental lift gained from work.
• Begin to make decisions independently in accordance with department practices.
• Communicates analysis, project results, and other business initiatives on a regular basis to staff, peers, and business partners.
• Staff responsibilities may include direct management of 1 to 2 individual contributors or interns.
• Acquisition, retention, and development of talent for assigned unit.

Senior Manager, Actuarial and Analytics – Personal Lines Pricing

Full-stack Engineer

• Define and prioritize the product backlog and roadmap for our Analytics Data Products, focusing on both expanding data product capabilities and continuously improving transformation pipelines and data models.
• Act as the voice of business stakeholders and analytics consumers, ensuring their needs drive product evolution.
• Measure delivery outcomes against business priorities and adjust the roadmap based on real results and shifting stakeholder needs.
• Make critical trade-off decisions in collaboration with leadership to maximize value delivery.
• Provide sign-off on engineering deliverables and maintain accountability for what gets built and whether it solves the problem.
• Design and build data models and define architecture that is scalable, performant, and aligned to business consumption patterns, leveraging generative AI techniques.
• Leverage a keen understanding of the data to uncover gaps, quality issues, and opportunities to enhance transformation pipelines and data product capabilities.
• Partner with IT, Data Platform, and business stakeholder groups to develop and validate solutions that meet real-world business needs.
• Make informed decisions on data design patterns to optimize for reliability and performance.
• Build proof-of-concepts and prototypes for new data product capabilities before broader implementation, de-risking delivery and demonstrating feasibility.
• Build and operationalize data transformation pipelines and analytical solutions using modern platform services, data engineering tools, and emerging GenAI capabilities.
• Develop automation for repetitive data processes to improve reliability and reduce manual intervention.
• Perform substantive pull request reviews, evaluating business logic correctness, potential bugs, performance implications, and adherence to team standards.
• Implement comprehensive testing, data quality checks, business logic validation, reconciliation, and integration tests to ensure high-confidence data products.
• Partner with IT and engineering teams to deploy, monitor, and operationalize solutions.
• Gather and synthesize requirements from data providers and analytics consumers, translating business needs into clear technical specifications.
• Document data lineage, upstream/downstream dependencies, and define acceptance criteria for deliverables.
• Identify data gaps and quality issues, and validate solutions with stakeholders before and after delivery.
• Scope work and communicate delivery timelines and risks proactively to avoid surprises.
• Establish and evangelize best practices for data engineering, platform usage, and analytical development across teams.
• Create clear documentation on which datasets to use for different analytical purposes and modeling needs.
• Navigate governance processes and data controls to ensure compliant, well-classified data products.
• Share insights and best practices across teams to ensure alignment and consistency in analytical approaches.
• Manage stakeholder expectations and communicate project status proactively across IT, Data Platform, and business groups.
• Facilitate knowledge transfer between engineering and business teams.
• Flag risks and blockers early - before they land on someone else's desk.

Analytics Product Engineer, Data Products

Data Engineer

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
• Design complex data solutions.
• Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment.
• Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate.
• Test data movement, transformation code, and data components.
• Perform other duties as assigned.

Data Engineer II, Snowflake, Databricks, Ab Initio

General Counsel

• Provides counsel to senior management on complex legal issues within a respective line of business or practice area.
• Negotiates with clients or management and/or attempts to influence leaders at all levels regarding matters of significance to the legal community.
• Researches legal principles and precedents within area of specialization or expertise.
• Proactively identifies and communicates risk to internal and/or external customers and provides recommendations on how to mitigate that risk.
• Drafts, negotiates and executes legal documents.
• Maintains awareness of external judicial climate and legal developments.
• Builds and maintains strong internal and external client relationships.
• Acts as a mentor and coach to less senior attorneys and/or paralegal/staff.
• May prepare or review annual legal fees budget for assigned matters.
• Review invoices from outside counsel and recommend adjustments. Within authority level, approve invoices.
• Makes effective use of technology and automation in the practice of law.
• Perform other duties as assigned.

Senior Counsel – Insurance Coverage

• Manage litigation on behalf of the company, oversee outside counsel and drive strategy.
• Provide legal advice and counsel to internal stakeholders and senior management within respective lines of business pertaining to eDiscovery issues and litigation issues.
• Research legal principles and precedents within area of specialization or expertise.
• Proactively identify and communicate risk to clients and provide recommendations on mitigation.
• Draft, negotiate and execute legal documents.
• Maintain awareness of judicial climate and legal developments.
• Build and maintain strong internal and external client relationships.
• Act as a mentor and coach to less senior attorneys and/or paralegal/staff.
• May prepare or review annual legal fees budget for assigned matters.
• Review invoices from outside counsel and recommend adjustments. Within authority level, approve invoices.
• Make effective use of technology and automation to gain efficiencies in the practice of law.
• Work collaboratively to build and maintain strong relationships with internal clients and other professionals across Legal Services.
• Perform other duties as assigned.

Senior Counsel – eDiscovery and Corporate Litigation

Underwriter

• Under direct supervision, underwrites and assesses risk and makes recommendations for less complex accounts in a market segment.
• Establishes effective relationships with customers, agents and brokers.
• Develops consultative sales and marketing skills through their interaction with agents/brokers and via coaching from their manager.
• Develops negotiation skills through their interaction with agents/brokers and via coaching from their manager.
• Develops planning and organization skills necessary to effectively manage desk and assume a territory.
• Effectively collaborates with others on all aspects of job.
• Takes initiative for personal development and seeks to learn through underwriting, marketing, and other related opportunities.

Underwriting Professional Development Program, Technology

Risk

• Provide the Underwriter with account knowledge as it relates to hazards, controls, and management.
• Evaluate how a company identifies and manages their inherent risk factors.
• Maintain a consistent field presence, spending approximately 20% - 50% of the time onsite with customers.
• Partner with Underwriting to select, retain, and grow a profitable book of business.
• Build and maintain productive relationships with Underwriting, Claim, Risk Control Specialists, and Brokers to service customers as a unified team.
• Complete all lines risk assessment evaluations for Construction industry related accounts with high complexity including challenging products liability exposures with potential for the most severe losses, largest multi-location companies, and largest fleet exposures.
• Write technically detailed reports that communicate a clear assessment of risk and effectively articulate recommendations.
• Stay current with technical subject matters, regulatory environment and emerging issues.

Senior Risk Control Consultant – Construction

Financial Planning and Analysis

• Ensure all reports, exhibits, and presentations from the team are accurate, impactful, and clear.
• Ensure all insights derived from the team’s analysis are synthesized into actional recommendations and lead the analysis of financial and operational reports of the highest complexity.
• Identify gaps and limitations in data sets and understand multiple layers of complexity with the ability to explain and recommend potential alternatives.
• Oversee, synthesize, and present exhibits, results, observations, and recommendations to senior management, including formal presentations, monthly financial results, etc.
• Lead the financial analysis and own the finance perspective to drive business strategy for supported organizations.
• Review competitor press releases, SEC filings, and industry trade press (including strategic studies) for helpful insights, linking opaque themes together and identifying applicability to departmental strategies.
• Push insights up to management in a timely manner by creating actionable insights to influence business strategy.
• Oversee implementation of business and financial regulatory changes related to financial reporting, such as reorganizations, mergers and acquisitions, etc.
• Provide coaching, training, and mentoring. If a manager of people, provide leadership, coaching, training, planning, staffing, and performance management and development to employees, in addition to ensuring the understanding of departmental objectives, vision, and strategy.
• Perform other duties as assigned.

AVP, Financial Analysis – Claim Field, Finance and Workforce Operations

Backend Engineer

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
• Design complex data solutions.
• Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment.
• Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate.
• Test data movement, transformation code, and data components.

Data Engineer II, AWS, Python, GenAI

• Own the end-to-end lifecycle of insurance data products — including pricing tools, scenario modeling, experience analysis, and underwriting support platforms — from requirements gathering through production deployment and ongoing enhancement.
• Define and prioritize the product backlog for your portfolio, ensuring stakeholder needs across actuarial, underwriting, and decision science teams drive platform evolution.
• Measure product performance through KPIs tied to business outcomes — pricing accuracy, quote velocity, analysis turnaround, underwriting efficiency — and adjust the roadmap based on real results.
• Make critical trade-off decisions in collaboration with leadership to maximize value delivery across competing priorities.
• Build deep domain expertise in Management Liability insurance workflows, becoming the trusted technical partner for your lines of business.
• Extend the embedded AI development model to modernize insurance analytics tools using GenAI capabilities — including document intelligence, conversational data exploration, and automated analysis generation.
• Prototype and iterate on AI-powered solutions in real-time using Claude Code, agentic workflows, and modern platform services.
• Build proof-of-concepts that demonstrate feasibility for new AI capabilities within insurance workflows.
• Partner with actuaries, underwriters, and decision scientists to test and validate AI solutions in their actual working environment, ensuring real-world effectiveness before scaling.
• Identify opportunities to apply GenAI techniques — RAG, entity extraction, structured output generation — to accelerate insurance analytics processes that currently require manual effort.
• Build and operationalize data pipelines that capture, transform, and deliver data to support AI/ML and business intelligence initiatives.
• Develop automation for repetitive insurance analytics processes and workflows, directly impacting pricing outcomes, underwriting quality, or operational efficiency.
• Create reusable templates, reference implementations, and platform abstractions that accelerate future AI-powered tool deployments across additional lines and use cases.
• Leverage Python, SQL, and cloud-native services (Databricks) to build scalable, production-grade solutions.
• Gather and document requirements from teams across Management Liability, Surety and Claim — actuarial, underwriting, and research & development — translating business needs into clear technical specifications.
• Manage IT delivery partnerships and monitor delivery to ensure solutions meet business needs and timelines.

AI Product Engineer

• Leverage trial experience to apply effective use of litigation skills and techniques to try cases to verdict or negotiate resolution.
• Conduct advanced legal research and demonstrate strong and persuasive legal writing and presentation skills.
• Draft substantive pleadings, motions, briefs, discovery and other legal documents.
• Attend court events, depositions, and other appointments independently.
• Provide in-depth, substantive case analysis and recommendations to insured clients and Claim partners on file handling strategies.
• Collaborates with expert witnesses and consultants to develop case strategies, evaluate technical matters, and prepare compelling testimony for litigation.
• Build and maintain strong internal and external client and business partner relationships, including independent responsibility for managing client and business partner relationships.
• Provide internal and external training, seminars and legal updates to insured clients and Claim partners.
• Provide leadership through mentoring other attorneys and legal support staff.
• Initiate special projects and identifies other opportunities to support office goals/business needs.
• Fully and effectively utilize available technology, case management system and automation.
• Travel as required to meet business needs.

Senior Counsel – Insurance Defense

• Perform analysis, design, development, and configuration functions as well as define technical requirements for assignments of intermediate complexity — with AI-driven tools as a primary means of accelerating delivery, improving code quality, and reducing manual effort across the engineering lifecycle.
• Participate with team to perform analysis, assessment and resolution for defects and incidents of intermediate complexity and escalate appropriately, routinely applying AI-driven tooling to accelerate root cause identification, pattern recognition, and resolution quality.
• Work within guidelines set by team to independently tackle well-scoped problems, defaulting to AI-driven approaches as a first line of problem solving and contributing observations about what works back to the team.
• Seek opportunities to expand technical knowledge and capabilities, with a strong emphasis on deepening fluency in AI tools, prompt engineering, and the evolving landscape of AI-driven software development practices.

Software Engineer I – AI Driven

• Shape and communicate the technical direction for AI-driven engineering across the Engineering Enablement organization.
• Own and actively manage the Engineering Enablement product roadmap.
• Engage credibly across the full software engineering lifecycle — from design and architecture through testing and production health.
• Lead and develop the engineers within the AI Enablement & Experience circle.
• Take the lead on directing and implementing solutions to moderately complex, loosely scoped problems that are aligned with team goals.
• Deliver efforts both independently and by leading other team members.
• Lead investigation and resolution efforts for critical, high impact problems, defects, and incidents.
• Act as a technology advocate, independently seeking opportunities where AI-driven technology can be utilized to improve how engineers design, build, and deliver software.
• Provide technical guidance and mentorship while fostering a team environment where AI-driven fluency is a shared expectation and continuous learning is the norm.
• Represent the Engineering Enablement organization in discussions with enterprise and claim leadership.
• Partner with the Engineering Enablement organization leader on strategic planning, organizational decisions, and stakeholder engagement.
• Seek opportunities to expand technical knowledge and capabilities.

Senior Software Engineer – Engineering Enablement Lead

Operations

• Serves as a customer service representative for the claim department by promptly and professionally addressing customer questions and concerns.
• Partners with claim professionals in multiple departments to assist with the timely resolution of claims.
• Ensures the proper handling of financial transactions to include: Processes and issues claim payments including outside vendor invoices, attorney expenses, and medical processing fees.
• Maintains accurate records and information management, such as: Prepares, generates and reviews reports using the most effective technology.
• Assists with claim center financial standards, including: Performs underlying controls and effectively communicates findings.

Claim Operations Specialist

• Prepare, evaluate, and validate fraud detection, financial and operational reports.
• With supervision, perform analysis and interpretation of trends and unusual payment activity, collaborating with cross-functional peers to validate findings and escalate potential fraud concerns.
• Analyze, interpret, and validate trends and variances in business performance, while partnering with cross functional peers on limited basis.
• Support Claim Field partners with financial workflow troubleshooting and error resolution.
• Assist with financial controls in accordance with Sarbanes-Oxley requirements.
• Learn and utilize appropriate tools and workflows to identify fraudulent activity and support the control environment.
• Support the execution of the Fraud Prevention & Detection Framework under manager guidance.
• Prepare and review financial activities for various lines of business, including journal entries and account reconciliations.
• Synthesize and present exhibits, results, and observations to direct manager and team members.
• Support your financial partners in the preparation of analyses to support business strategy.
• Perform other duties as assigned.