Arthur J. Gallagher
From Arthur J. Gallagher's careers page
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Overview Overview You’ll help shape how cyber risk analysis is presented in TIDE.
Introduction Welcome to Gallagher in India — where expertise, technology, and purpose come together. Since 2006, Gallagher in India has supported global teams by delivering quality, service, and speed through deep expertise, smart technology, and specialized knowledge services. More than just an operations center, it’s a place where careers grow through collaboration, continuous learning, and purposeful work. We drive efficiency, compliance, and innovation so our teams can focus on serving clients. If you enjoy solving problems and working with purpose, Gallagher is the place where you can grow and feel a sense of belonging. Overview Overview You’ll help shape how cyber risk analysis is presented in TIDE. That means reports, dashboards and apps that are clear, useful and easy to trust. This role sits at the point where design and code meet. You’ll spend a good share of your time on user needs, sketches, wireframes, testing and review before code is finalised. You’ll work on tools that help underwriters and portfolio managers make decisions with more confidence. You’ll turn complex data into simple journeys, then help build the agreed design with support from the wider team. How You’ll Make an Impact You’ll work with the Delivery & Commercial Lead, clients and domain specialists to understand the decision a user needs to make. Then you’ll turn that into sketches, wireframes or prototypes that the team can review early. You’ll write clear specs with acceptance criteria, keep them current as the design changes, and help the wider team build against them. You’ll build parts of the product in Python, mainly with Streamlit and other web frameworks, within the architecture and standards set by the Technical Lead. You’ll work on authenticated workflows, data visualisations and integrations, and you’ll write clean, tested code under shared version control. When something needs deeper engineering, you’ll define it clearly and hand it over rather than filling the gap with a guess. You’ll test working software with representative users, watch where they pause or struggle, and revise the design from what they do. You’ll also bake in accessibility, performance and sensible error handling from the start. Over time, you’ll help build reusable interface components and patterns that make later products quicker to ship. About You Here’s what you’ll bring to the role: You’ll have worked on analytical applications, reports or dashboards where clear data presentation mattered. You’ll have experience with user experience design and turning user needs into simple screens or journeys. You’ll be able to build in Python and you know Streamlit, or you can pick it up quickly. You’ll be comfortable writing SQL and working with data in pandas or Polars. You’ll know how to present data visually and when a chart helps or gets in the way. You’ll be able to explain complex ideas in simple terms and question a requirement when a simpler route would help the user more. You’ll have used AI coding tools such as GitHub Copilot, Claude or ChatGPT, and you can show how you use prompts, context and checks to support your work. You’ll have a portfolio that shows both design thinking and shipped implementation. You’ll have supported or shipped a production Python application, or worked on data-heavy, analytical or regulated products. How you'll make an impact Here’s what you’ll bring to the role: You’ve worked on analytical tools, reports or dashboards where clear data presentation mattered. You’ve used UX methods such as sketching, wireframes, prototypes or user testing. You can build in Python and you’ve used Streamlit, or you can pick it up quickly. You’re comfortable writing SQL and working with tabular data in pandas or Polars. You can choose a chart that helps, and you can explain when a chart gets in the way. You can explain complex ideas in simple terms, in writing and in conversation. You’re prepared to question a requirement when a simpler user journey would work better. You’ve used AI coding tools such as GitHub Copilot, Claude or ChatGPT, and you can show how you use prompts, context and checks. You have work that shows both design thinking and shipped implementation. You’ve helped support a production Python app, or you’ve worked on data heavy, analytical or regulated products. About you Qualifications: University Degree and minimum 5 years of prior relevant experience, or equivalent experience. Additional Information At Gallagher, we believe supporting our colleagues goes far beyond the role itself. For more information, visit our Benefits page. Competitive compensation Comprehensive benefits programs designed to support your well-being Career development opportunities and ongoing learning A collaborative, people-first culture with accessible leadership The opportunity to do meaningful work with global reach and local impact At Gallagher, we are dedicated to building an inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to join our Talent Community to stay connected to additional career opportunities. At times, we will consider transferable skills from previous roles. Gallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled) Here’s what you’ll bring to the role: You’ve worked on analytical tools, reports or dashboards where clear data presentation mattered. You’ve used UX methods such as sketching, wireframes, prototypes or user testing. You can build in Python and you’ve used Streamlit, or you can pick it up quickly. You’re comfortable writing SQL and working with tabular data in pandas or Polars. You can choose a chart that helps, and you can explain when a chart gets in the way. You can explain complex ideas in simple terms, in writing and in conversation. You’re prepared to question a requirement when a simpler user journey would work better. You’ve used AI coding tools such as GitHub Copilot, Claude or ChatGPT, and you can show how you use prompts, context and checks. You have work that shows both design thinking and shipped implementation. You’ve helped support a production Python app, or you’ve worked on data heavy, analytical or regulated products. Qualifications: University Degree and minimum 5 years of prior relevant experience, or equivalent experience.
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