We are looking for a strong and motivated software developer to work as part of a team in developing and implementing innovative software solutions. You will work closely with a cross-functional team of developers, QA engineers, and product owners in a fast-paced and cutting-edge environment. You will use your deep technical knowledge and experience to build robust, efficient, and performant software applications. You will always find new challenges that excite you and keep you motivated. bachelors degree or equivalent in Computer Science or related field 4-12 years of proven experience in software development and system maintenance 3-7 years of experience designing and developing elegant-yet-simple systems using best practices and design patterns Solid experience and understanding in the following technologies: NET Core, C#, ASPNET Web API, ASPNET MVC, Angular, Webpack module loader, NPM, JSON/XML, LINQ, Entity Framework, IoC frameworks, CI/CD, Redis Solid understanding of CSS syntax, HTML5 specs, browser shortcomings/differences, and polyfills Solid understanding of Bootstrap/Material CSS components and how/when to use each Experience working with AWS technologies like Batch, Lambda, S3, SQS, etc Excellent understanding of object-oriented design concepts and software development processes and methods Solid understanding of parallel programming, async/await and the TPL library Developed software in SCRUM environment using Agile methodologies Ability to effectively work on multiple projects simultaneously and effectively contend with competing priorities Must have strong troubleshooting, code optimization and refactoring skills Ability to learn and adapt to continuously changing technology Must have passion for development and latest technologies Experienced at leading a team and mentoring junior developers Experienced at translating high level requirements into logical tasks and identifying the technical requirements for each task Experience working with internal customers, research groups, and various business support areas. Nice to haves: Designer's eye Experience with UX patterns and ability to design complex applications Experience with CSS pre-compilers (SASS, LESS) Multi-threaded programming experience in both procedural and functional paradigms Experience with client-side optimization (GZIP, sprites, minification, obfuscation, browser caching) Role Design and develop software applications supporting business objectives Maintain, enhance, and support existing applications Analyze and debug applications in development and production environments and resolve production issues within the accepted timeframes Lead design and architecture meetings Serve as a liaison to internal customers, research groups and various business support areas Conduct code reviews, automation, perform thorough Unit/Integration Testing of assigned applications Write technical documentation and release notes for the applications Provide technical guidance to junior programmers and other software engineers.

A catastrophe modeling job involves analyzing and assessing the potential impact of catastrophic events (e.g., natural disasters like earthquakes, floods, hurricanes) on assets, infrastructure, and populations. The role typically includes developing, refining, and applying mathematical models to predict and evaluate risks, helping companies (such as insurers or government agencies) prepare for and mitigate the financial impact of such events. Responsibilities may also include data analysis, scenario testing, and collaborating with cross-functional teams to inform risk management strategies. Proficiency in data science, programming, and a strong understanding of geophysical or environmental factors are often required. Skills Set Required (Mandatory): 5 to 8 Years experience Hands on experience on AIR (Touchstone / TS Re and CATRADER) software Experience in CAT Modeling Industry Should understand & interpret CAT Modeling losses. Understanding of policy structure (layers, limits, deductibles) and how it works in insurance industry Insurance & Re-insurance Subject, Underwriting concepts Attention to detail and superior communication skills. Experience in Open Market & Binder account processing & auditing Proficiency in Excel and SQL & Analytical skills Desirable Skill Set Required (Add-on): Writing Macro s using VB scripts, Underwriting concepts. The position in Data Services team offers an interesting range of responsibilities includes Cleansing, augmenting, Validating, preparing catastrophe model exposure data for different Line of Business, Applying Insurance & Re-insurance policy conditions, analysis of client exposure data against to different perils, quantifying natural catastrophe risk based on catastrophe modeling software and reviewing of work (accounts) done by analysts, Maintain clients Turn Around Time and quality all the time. Should understand & interpret the losses, Understanding of Touchstone product and database structure. Maintain/manage account log sheet, Assign the work to team members, Audit/review the accounts done by risk analysts, manage the workflow in absence of Team Lead/Manager, raising client queries, attention to detail and superior communication skills.

We are seeking a highly skilled Lead Software Developer with 6+ years of experience to join our dynamic development team. Requirements: Bachelors degree in Computer Science or a related field required; 6+ years of work experience, with equivalent technical experience considered as a substitute. Advanced proficiency in JavaScript, HTML, CSS, and RESTful APIs. Strong expertise in Angular or another advanced JavaScript front-end framework. Deep knowledge of C# and .NET technologies. Experience with Python preferred. Proficient in using Git or similar version control systems. Proven experience with large relational databases; familiarity with MS SQL Server preferred. Familiarity with SSIS and PostgreSQL is welcomed but not required Skilled in software design patterns and distributed systems practices. Knowledge of automated testing methods, including unit and integration testing. Experience with CI/CD systems, particularly Azure DevOps, highly regarded. Hands-on exposure to AWS (API Gateway, Lambda, AWS Batch, SNS, SQS, ECR, EC2, DynamoDB, S3, CloudFront) is advantageous. Excellent problem-solving skills and meticulous attention to detail. Strong communication skills and professional demeanor. Responsibilities: Serve as a major contributor to the design and implementation of the projects overall architecture. Lead the development and delivery of software projects from inception to completion. Collaborate with agile teams and cross-functional groups to define, design, and launch new features. Mentor junior developers in development best practices. Conduct code and design reviews. Write clean, maintainable, and efficient code. Troubleshoot and resolve technical issues. Develop unit tests to ensure code quality and maintainability. Stay current with emerging technologies and industry trends. Manage CI/CD systems to streamline and automate deployment processes. Ensure application quality and responsiveness. Actively participate in team meetings and ceremonies, such as architecture discussions, refinements, retrospectives, demos, and standups, to drive continuous improvement. Effectively present information in one-on-one and small group settings.

Maplecroft is looking for Accounts Receivable Associate to join our dynamic team and embark on a rewarding career journey AR Strategy Development:Develop and implement a comprehensive AR strategy aligned with the organization's goals and objectives Identify opportunities to leverage AR technologies for business improvement and innovation Project Management:Lead AR projects from inception to completion, ensuring timely delivery and adherence to budget constraints Collaborate with internal teams, external vendors, and stakeholders to define project scope, objectives, and requirements Technology Evaluation and Selection:Stay abreast of the latest AR technologies and trends in the industry Evaluate and recommend appropriate AR hardware and software solutions based on project requirements Collaboration and Communication:Foster collaboration between departments to integrate AR into various business functions Communicate effectively with non-technical stakeholders, translating technical concepts into understandable terms Training and Support:Provide training to end-users on AR applications and ensure a smooth transition to new technologies Offer ongoing support to address technical issues and enhance user proficiency Quality Assurance:Implement rigorous testing protocols to ensure the functionality, reliability, and security of AR applications Conduct regular assessments to identify areas for improvement and optimization Data Analysis and Reporting:Utilize analytics tools to track the performance and impact of AR applications Prepare and present regular reports to demonstrate the value and ROI of AR initiatives

About the Day-to-Day Responsibilities of the Role Perform sophisticated risk analyses using Verisks cutting-edge technology for insurers, brokers, and other financial intermediaries in the internationally expanding business of catastrophe risk management Add value to modelled results through customization of output tailored to the needs of clients Perform change management analyses for updates models and Verisk s Next Generation Models to assist with client adoption Perform portfolio management studies for determining growth strategies, developing scoring templates and risk metrics Manage and participate on internal projects such as testing of new software features and model releases Communicate directly with clients to develop project timelines and manage deliverable expectations, working jointly with global Verisk teams Help clients reliably assess and manage their catastrophe loss potential through interpretation of modelling results Provide day to day client support helping clients use Verisk s software platforms and understand Verisk s catastrophe models and their output, including providing training sessions to clients. QUALIFICATIONS About You and How You Can Excel in This Role Requirements: Strong analytical and quantitative skills, a solid understanding of probability concepts, excellent problem-solving skills and a commitment to client services. Experience Range: 1+ years Working knowledge of insurance and reinsurance Knowledge of Touchstone Re and /or Touchstone required or equivalent catastrophe modeling platform Excellent communication, time management and organizational skills Experience using Microsoft Office is essential and knowledge and understanding of the insurance/ reinsurance markets is preferred. Ability to code in languages such as SQL, R, Python will be highly beneficial. Knowledge of ArcGIS would be desirable. Education: A degree in science, engineering or mathematics is preferable.

The position in Data Services team offers an interesting range of responsibilities includes Cleansing, augmenting, Validating, preparing catastrophe model exposure data for different Line of Business, Applying Insurance Re-insurance policy conditions, analysis of client exposure data against to different perils, quantifying natural catastrophe risk based on catastrophe modeling software and reviewing of work (accounts) done by analysts, Maintain clients Turn Around Time and quality all the time. Should understand interpret the losses, Understanding of Touchstone product and database structure. Maintain/manage account log sheet, Assign the work to team members, Audit/review the accounts done by risk analysts, manage the workflow in absence of Team Lead/Manager, raising client queries, attention to detail and superior communication skills. 5 to 8 Years experience Hands on experience on AIR (Touchstone / TS Re and CATRADER) software Experience in CAT Modeling Industry Should understand interpret CAT Modeling losses. Understanding of policy structure (layers, limits, deductibles) and how it works in insurance industry Insurance Re-insurance Subject, Underwriting concepts Attention to detail and superior communication skills. Experience in Open Market Binder account processing auditing Proficiency in Excel and SQL Analytical skills Writing Macro s using VB scripts, Underwriting concepts.

As a Data Analyst in the Arium group, part of the Verisk Extreme Event Solutions division, you will support the development of the insurance industry s leading liability catastrophe modeling solution for the global insurance and reinsurance market. The Arium models quantify the systemic and emerging liability risks that can lead to significant aggregations and clash risks across portfolios, ranging from climate change to recessions to chemical exposures and across major commercial liability lines, including commercial general liability and professional/management liability lines. This role is part of the Arium research and analytics team, and will be based in Hyderabad. Qualifications: Bachelors Degree or equivalent in statistics, computer science, information technology, business analytics, or other related majors Minimum of 2-3 years of experience preferred Proficiency in Excel Proficiency in either Python or R Proficiency in SQL and database management Experience performing data preprocessing and cleaning Dashboarding experience would be a plus Proficient in working with JSON data formats Demonstrated ability to write clean, maintainable, and we'll-documented code Insurance experience would be a plus Ability to work independently and as part of a team Strong interpersonal, oral, and written communication skills, including presentation skills Day to Day Responsibilities: Own all Arium View of Risk data and data preparation processes Own the update process for historical event parameterization Collaborate with the research team to make all necessary data adjustments to maintain a robust database Support all necessary data preparation and pre-processing for specific modeling projects and initiatives Streamline data update and cleaning processes, including refactoring and optimizing legacy code to improve performance Support Ad-hoc data analysis and queries from various Arium teams

Maplecroft is looking for CAT Modelling Analyst II to join our dynamic team and embark on a rewarding career journey Use catastrophe modeling software (e.g., RMS, AIR, EQECAT) to simulate potential losses from catastrophic events. Analyze insurance portfolios to determine exposure and potential impact of various scenarios. Prepare and present loss estimates and risk metrics to underwriters, actuaries, and senior management. Maintain and update exposure databases and modeling assumptions. Support pricing and underwriting decisions with robust risk analytics. Collaborate with underwriting, actuarial, and claims departments. Monitor model updates and evaluate their impact on portfolio risk. Assist in regulatory reporting and compliance with industry standards. Perform ad hoc analyses related to emerging risks or specific client needs.

Objectives of this role Stakeholder Engagement: Foster strong relationships with stakeholders to understand their needs and align business objectives with technology solutions. Requirements Gathering: Lead the requirements gathering process to identify business needs and document functional and non-functional requirements accurately. Data Analysis and Reporting: Utilize data analysis tools to generate insights that inform business decisions and track project performance metrics. Process Improvement: Identify opportunities for process optimization and recommend solutions to enhance operational efficiency and effectiveness. Documentation Standards: Establish and maintain documentation standards to ensure clarity and consistency in project deliverables Change Management: Assist in change management initiatives to ensure smooth transitions for stakeholders and users when implementing new systems or processes. Responsibilities Requirements Elicitation: Engage with stakeholders to gather and document detailed business requirements, ensuring a clear understanding of their needs. Data Analysis: Analyse data trends and metrics to provide insights that inform business strategies and decision-making. Process Mapping: Create and analyse process maps to identify inefficiencies and areas for improvement, recommending solutions to optimize workflows. Project Leadership: Lead cross-functional teams in project initiatives, ensuring alignment between business objectives and technical implementation. Documentation: Develop and maintain comprehensive documentation, including business requirements documents, use cases, process flows, and user manuals. Stakeholder Communication: Act as a liaison between business stakeholders and technical teams, facilitating clear communication and understanding of project goals. Testing and Validation: Oversee the testing process to ensure that solutions meet business requirements, including user acceptance testing (UAT) and validation of deliverables. Change Management: Support change management efforts by preparing stakeholders for new systems and processes, providing training, and addressing any concerns. Strategic Planning: Contribute to strategic planning sessions, providing insights and recommendations based on data analysis and market trends. Risk Management: Identify potential risks associated with projects and propose mitigation strategies to ensure successful outcomes. Qualifications Educational Background Bachelor s Degree: Typically, in Business Administration, Finance, Information Technology, or a related field. Master s Degree (Optional): An MBA or relevant master s degree can be advantageous. Professional Experience: Usually, 3+ years in business analysis in Life Insurance implementations, with demonstrated experience in leading projects. Industry Knowledge: Familiarity with the specific industry (e.g., finance, healthcare, technology) relevant to the role. Technical Skills: Data Analysis Tools: Proficiency in tools such as Excel, SQL, or data visualization software (optional) (e.g., Tableau, Power BI). Requirements Management Tools: Experience with tools like JIRA, Confluence, or similar platforms for tracking requirements and project management. Process Mapping: Knowledge of process modeling techniques and tools (e.g., BPMN, Visio). Certifications (Optional but Beneficial) Soft Skills: Communication Skills: Excellent verbal and written communication skills to convey complex information clearly to various stakeholders. Problem-Solving: Strong analytical and critical thinking abilities to identify issues and propose effective solutions. Leadership: Ability to lead teams and influence stakeholders effectively. Interpersonal Skills: Strong relationship-building skills to foster collaboration across departments.

About the Role Extreme Event Solutions at Verisk (previously AIR Worldwide) is the scientific leader and most respected provider of risk modeling software and consulting services. Extreme Event Solutions at Verisk founded the catastrophe modeling industry in 1987 and today models the risk from natural catastrophes, terrorism, and pandemic outbreaks in 90 countries. Verisk offers the opportunity to work with advanced technologies, global clients, and hundreds of the most innovative, talented minds in the industry. Become a member of our Atmospheric Perils Vulnerability team and join our growing Research and Modeling department in our Hyderabad, India office. Use your knowledge of civil engineering and statistics to develop models of extreme catastrophic events (i.e., hurricanes, tornadoes, storm surge, flood etc.) and assess building performance in the context of such events. This Research Engineer position is responsible for developing, enhancing and supporting the engineering/vulnerability components of Verisk s atmospheric perils based portfolio risk analysis models that cover worldwide regions, including perils such as straight-line wind from tropical cyclones, severe convective storms and winter storms, hail, snow, and freezing temperatures. General responsibilities include identifying the impact that these perils can have on the built environment, including physical damage which can result in monetary loss to buildings/infrastructure, contents, and loss of use (downtime). The candidate will work closely with a team of structural engineers, meteorologists, hydrologists, hydraulic engineers, statisticians, and specialists in financial application of probabilistic risk assessment. The candidate is expected to be highly motivated, detail oriented, well organized, and an independent worker and collective team player who can present and explain results to internal stakeholders and external clients. The evolving nature of research work at Verisk creates unique and challenging problems that spark innovation and growth and creates opportunities for its employees. A successful candidate should have a desire to use problem-solving skills in applying sound engineering principles to solve unique and challenging problems in the fields of civil/structural engineering and risk assessment. It is expected that candidates will be highly motivated, detail-oriented, well-organized, able to perform high-quality self-directed research, have outstanding written and verbal communication skills, and be team-oriented. About You and How You Can Excel in This Role Ph.D. in Civil Engineering with a special emphasis in Structural Engineering Experience in performance-based design, probabilistic and stochastic risk assessment and modeling, and reliability theory with applications to the field of structural engineering Proficiency in C/C++, Python along with other productivity software including R, MATLAB, Microsoft Office Excellent written and verbal communication skills Strong organizational and excellent documentation skills Knowledge of GIS applications (e.g. ArcView) and SQL server is a plus About the Day-to-Day Responsibilities of the Role As a member of our Atmospheric Perils Vulnerability Team, your day-to-day responsibilities will include the following: Data acquisition, synthesis, and analysis for the purpose of understanding building inventory, and its vulnerability in lieu of industry insured losses and insurance claims data subjected to atmospheric-based hazards in multiple regions worldwide Willingness to learn and work with a variety of proprietary Verisk datasets and find ways to integrate the same into Verisk s extreme event models Analytical analyses and research aimed towards the development of vulnerability functions and monetary loss curves for structural and non-structural building and infrastructure components subjected to hazards such as wind, tornadoes, hail, and snow for several regions of interest worldwide Implementation of research into Verisk s portfolio risk analysis models, including programming loss simulation codes and analysis tools, and probabilistic risk assessment validation Use of GIS and similar tools for data visualization and analysis Real-time and virtual building damage assessments due to natural catastrophes during and after significant events Preparation and presentation of work at staff internal and client external meetings as well as technical writing for internal and external publications and client-facing documentation

Join a multidisciplinary team of scientists, engineers, and mathematicians developing catastrophe models for the insurance and reinsurance industries. At Verisk, we are leading the way in generating new solutions based on machine learning and high-resolution numerical weather models to simulate the full distribution of possible extreme weather events cyclones, storm surge, convective storms, and flooding consistent with a changing climate. We are seeking a statistician or atmospheric scientist to advance the development, support, and delivery of the hazard component of atmospheric peril models. Your work will inform risk and capital management decisions globally. Qualifications Expertise in spatial statistics and extreme value analysis Strong understanding of atmospheric dynamics and extremes Experience with dynamic downscaling methods Proficiency in Python Clear written and verbal communication Practical, solution-focused mindset Requirements Ph.D. in statistics, atmospheric science, or a related field; or Master s with 3+ years of relevant experience Key Responsibilities Improve the accuracy of representing atmospheric perils Contribute to model development, validation, and productization for global clients Support model development using observational and reanalysis products, GCMs, and high-resolution simulations

As a QA Analyst you will work on Touchstone (an AIR product) and validate probabilistic models that estimate the catastrophic risks to properties from natural calamities. Touchstone is a risk management solution designed to perform advanced analytics for Insurance/Reinsurance companies to own their risk. If you are an individual who is passionate to work on mathematical models and values the quality to meet customer expectations, then this position offers you an excellent opportunity for professional and technical growth. This position offers you an excellent platform to build your own knowledge on statistical Models as well as the cutting-edge software, based on your expertise in delivering reliable and robust analytical solutions. Requirements Post Graduates in Engineering, Science or Mathematics from a reputable academic institution or undergraduates from top rated schools with excellent credentials 2-4 years of relevant experience as analyst for a computational analytics company Thorough understanding and hands on experience with relational databases such as MS-SQL, with ability to mentor and train others Experience with large data sets analysis and manipulation Experience with either statistical, mathematical software packages like R; or generally with analytical software; Good working knowledge in MS Excel Ability to identify patterns and make thorough observations out of numerical data sets and draw mathematical relationships out of it Experience with designing and /or validating numerical probabilistic models in engineering, science, catastrophe modeling, finance, actuarial science, etc. Programming skills to include: numerical, scientific and databases programming Proven analytical and problem solving quantitative abilities Excellent attention to detail and experience working in distributed and global teams with diverse cultural backgrounds Superior verbal and written communication skills, to interface with cross-functional teams that are talented, culturally diverse, global and widely varying technical skill sets Knowledge of product development life cycles to ensure the critical role of quality assurance teams Logical and clear thinker having made sound process driven decisions Multitasking ability with focus on accuracy and efficiency Role Responsibilities Read all the requirement documents and understand the scope of Model/Product feature updates and identify the scope of testing Develop understanding on natural catastrophes such as Earthquake, Cyclone and Floods etc. and key parameters that drive the occurrence and spread of any natural event. Further understand the process of generation of stochastic Models and the modelling approach. Develop detailed test plans as per model implementation, physics of the phenomenon and client demand and ensuring the test coverage Timely execution of test plans and delivery of multiple products that have concurrent delivery schedules Validate probabilistic Model outputs from different platforms and test for the loss number consistency across platforms Perform statistical and mathematical analytics on Model outputs Perform explicit and or implicit validation of scientific/ financial algorithms to ensure that products meet requirements for output reasonability Thorough understanding of every test scenario/feature and ensuring all aspects are tested Training and guiding new comers to ramp up the learning curve in quick time Present developed test plans and test results conducted to the peer groups Design and Implement key quality metrics to track project timelines and provide regular updates on the progress to respective peer groups Keep track of bugs reported from self-testing and ones reported from other QA teams and estimate its impact on testing Understand the bug fix and its testing scope with timely verification of tickets Peer review another Analyst work Author and present technical documents of analytical work Enable transparency and timeliness in the product delivery decision making process Use automated testing practices throughout the life cycle Collaborate with peer teams to facilitate timely completion of projects with minimal supervision Ability to multitask to manage concurrent delivery of multiple enterprise grade products Gain command on Touchstone software by understanding the various functionalities involved in the product and get a grasp of any new technology needed

Join a multidisciplinary team of scientists, engineers, and mathematicians developing catastrophe models for the insurance and reinsurance industries. At Verisk, we are leading the way in generating new solutions based on high-resolution numerical weather models to simulate the full distribution of possible extreme weather events cyclones, storm surge, convective storms, and flooding consistent with a changing climate. We are seeking an oceanographer or atmospheric scientist to advance the development, support, and delivery of the hazard component of storm surge peril models. Your work will inform risk and capital management decisions globally. Qualifications Hydrodynamic numerical modeling expertise with a focus on atmospheric phenomena - Experience in running Delft3D FM is a plus Strong understanding of the balance of model accuracy and computational cost Advance programming skills, with a preference for Python Expertise in a Linux based high performance computing environment Proficiency in version controlling systems (e.g. Git) Excellent written and verbal communication skills, with the ability to convey technical concepts clearly. A solutions-oriented mindset with a focus on delivering scalable, high-quality solutions. Proficiency in model calibration techniques to match observed data Experience validating model against historical datasets Experience in quality checking observational datasets and quantifying their uncertainty Version control in Git Geospatial analysis Requirements Ph.D. in oceanography or atmospheric science, or a related field; or Master s with 3+ years of relevant experience Key Responsibilities Provide domain knowledge and numerical modeling expertise for capturing storm surge processes Contribute to pioneering storm surge research, by making use of innovative scientific and statistical methods for model development, validation, and productization for global clients Develop and maintain codebase, apply version control (e.g. Git) best practices

Join a multidisciplinary team of scientists, engineers, and mathematicians developing catastrophe models for the insurance and reinsurance industries. At Verisk, we are leading the way in generating new solutions based on machine learning and high-resolution numerical weather models to simulate storm surge inundation consistent with a changing climate. We are seeking an oceanographer or statistician to advance the expansion, support, and delivery of the hazard component of storm surge peril models. Your work will inform risk and capital management decisions globally. Qualifications Expertise in physics-informed machine learning algorithms Proficiency in deep learning architectures, particularly Convolutional Neural Networks and Recurrent Neural Networks Experience in handling large, complex datasets for efficient utilization Strong understanding of data engineering for model training Experience in a Linux based high performance computing environment Excellent written and verbal communication skills, with the ability to convey technical concepts clearly. A solutions-oriented mindset with a focus on delivering scalable, high-quality solutions. Strong understanding of model evaluation metrics and uncertainty quantification Expert in Python preferred, R also accepted Statistical analysis skills Experience with modelling on GPU architectures Version control in Git Requirements Ph.D. in oceanography or atmospheric science, that makes heavy use of data science, applied mathematics, or a related field; or Master s with 3+ years of relevant experience. Key Responsibilities Contribute to pioneering storm surge research and model development in a framework where machine learning and numerical modeling are the basis of the storm surge modeling. Develop process improvement to optimize model performance Develop and maintain codebase, apply version control (e.g. Git) best practices

We are looking for a seasoned IT Senior Technical Support Engineer-1 with 5 to 8 years of experience in enterprise IT support, HelpDesk and infrastructure operations. This role requires advanced technical knowledge across device and identity management and IT service management using ServiceNow. The ideal candidate will also bring hands-on experience with cloud platforms and enterprise security solutions such as Zscaler, Okta, and SailPoint. Required Skills & Experience: 8+ years of experience in IT support, systems administration, or infrastructure engineering Expertise in: Cloud services (Azure, AWS) Microsoft Intune, Jamf, Office 365 Admin Center, Exchange Okta, SailPoint, Zscaler ServiceNow (ITSM & Asset Management) Maintain Crestron AV, VOIP, LAN, WAN ensuring high availability and performance. Strong troubleshooting skills across software, hardware, and network layers Ability to manage large-scale device fleets and ensure security compliance Preferred Microsoft course: MCSA/MCSE Required skills: Expert knowledge of Windows Client environment, Microsoft Intune, Office365, Laptop/Desktop Hardware troubleshooting skills. Strong problem-solving, communication, and documentation skills. Preferred Education Qualification : Any Graduation. Key Responsibilities: ServiceNow & ITSM: Use ServiceNow to manage IT tickets, incident resolution, service requests, and asset lifecycle tracking Maintain accurate and up-to-date inventory using ServiceNow Asset Management AV & Conference Room Support: Manage conference rooms and ensure seamless AV functionality using Crestron systems Support executive meetings and virtual events, resolving audiovisual and IT issues proactively Integrate AV tools with Microsoft Teams , Zoom, and other communication platforms Endpoint & Device Management: Enrol, manage, and support Windows, macOS, iOS, and Android devices using Microsoft Intune and Jamf Monitor device compliance and health; address non-compliant endpoints Perform remote actions such as device wipe, lock, or reset in the event of loss or compromise Deploy and update enterprise applications across devices Identity & Access Management: Create, manage, and de-provision user accounts and groups using Office 365 Admin Center , Exchange , Okta , and SailPoint Configure and manage mailboxes (user, shared, room, resource), including delegation and access permissions Manage guest access and external sharing in collaboration platforms Troubleshoot and escalate Zscaler access issues and device tracing in coordination with security teams Additional IT Support Duties: Oversee printer environments , VOIP systems , and CCTV infrastructure Lead IT onboarding and offboarding processes, including hardware, access, and account provisioning Provide Tier 2/3 escalation support for global end-users, ensuring timely and professional resolution

Being part of and contributing to a large, vibrant community Understanding problems and designing solutions for the P&C Insurance industry. Applying a variety of analytic methodologies including Predictive Modeling, Machine Learning, Forecasting, Network Analytics, Natural Language Processing, Computer Vision, Voice and Speech Analytics, and Generative AI to develop solutions to those business problems Working with a diverse set of extremely rich datasets such as 19 billion detailed records of insurance premiums collected and losses paid, or 90%+ of Insurance Claims in the US Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis Working with cutting-edge technology, and continuously developing new skills and capabilities. A degree in a quantitative field with relevant experience: Bachelors (3-5 years) or Masters (1-2 years), or PhD (0-2 years). Strong programming skills, particularly in R and Python. Extensive experience in one or more of the following skills is essential: Predictive Modeling, Entity Resolution, NLP, and Generative AI. Experience in any of the following skills is a plus: Big Data Platforms, Time-Series Forecasting, Graph Databases, Network Analytics, Neural Networks, Computer Vision, and ASR (Automated Speech Recognition). Familiarity with SQL or NoSQL (eg, Hadoop, HBase, MongoDB and/or Neo4j) databases. Domain knowledge in the insurance industry is an added advantage. Ability to solve problems analytically and creatively. Strong communication (written and oral) skills. The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability. Develop analytic solutions using machine learning techniques including Predictive Modeling, Text Mining, Entity Resolution, Time-series Forecasting, Network Analytics, Computer Vision, Automated Speech Recognition, and Generative AI. Ensure that solutions meet business requirements around accuracy, sophistication, and interpretability. Ensure that solution is delivered in a timely manner. The incorporation of technical innovations and new developments in relevant analytic fields Keep abreast of technical innovations and new developments in relevant analytic fields The development of analytic interns that you are responsible for Identify training opportunities and project opportunities that can help develop the analytic interns you are responsible for The sharing of important methodologies, advances, and best practices from your work among the whole analytic community Help organize these forums for developing Verisk s analytic community Share important methodologies, advances, and best practices from your work among the whole analytic community via these forums. Success Criteria: Measurable contribution to products and processes in terms of new products developed, enhanced products, direct revenue supported, cost savings etc Positive feedback on the support received from business partners Advancement of analytic interns that you are responsible for Positive feedback from analytic interns that you are responsible for Positive feedback from team members and leaders of the Verisk analytic community

The ideal candidate will have a strong background in AWS services, Azure DevOps, and various monitoring tools. You will be responsible for managing and optimizing our cloud infrastructure, building and maintaining CI/CD pipelines, and ensuring the reliability and performance of our applications Bachelors degree in Computer Science, Information Technology, or related field. Proven experience as a DevOps Engineer or similar role. Strong knowledge of AWS services and Azure DevOps. Proficiency in shell scripting and Linux administration. Experience with monitoring tools like Splunk and CloudWatch. Familiarity with version control systems, particularly Git. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Preferred Skills: Experience with containerization technologies such as Docker and Kubernetes. Knowledge of infrastructure as code (IaC) tools like Terraform or CloudFormation. Understanding of security best practices in cloud environments. Key Responsibilities: AWS Services Management: Handle AWS services including Cognito, DynamoDB, API Gateway, Lambda, EC2, S3, and CloudWatch. Serverless Framework: Utilize the Serverless Framework to build and manage serverless infrastructure for APIs. Azure DevOps: Build and maintain CI/CD pipelines using Azure DevOps. Monitoring Tools: Implement and manage monitoring tools such as Splunk and CloudWatch to ensure system reliability and performance. Scripting: Develop and maintain shell and Python scripts for automation and system management. Linux Administration: Manage and optimize Linux-based systems. Version Control: Use Git for version control and collaboration.

Its the world s largest database of property/casualty claims and a robust claims intelligence platform. Its claims-matching technology is an essential first step in fraud detection, and the results can help facilitate fast-tracking. The platform also provides seamless access to integrated claims fraud-detection and investigative analysis tools. You will be responsible for leading teams to design and develop new components of the ClaimSearch product as well as enhancing existing features. You will develop for our fully cloud environment across very large data sets and gain experience on a diverse set of technology tools with exposure to backend data processing, large entity resolution algorithms, data matching, search, APIs, integrations and front-end development. QUALIFICATIONS About You and How You Can Excel in This Role 8-12 years experience working in in Java, SQL, XML, JSON Experience with AWS or any cloud provider, Docker, Elasticsearch is a plus Experience leading small-medium sized technical teams Experience in creating and consuming RESTful services & APIs Experience working in Web Application Frameworks such as Angular or React Experience working with Spring and Message Queues Working knowledge of software development tools, testing methodologies, continuous integration and Agile processes Ability to easily express architectural ideas to engineers and non-technical members Ability to guide junior engineers to quickly debug problems based on experience and prior patterns Self manage time and tasks with little to no direction from others Identify subtle or well hidden technical debt, understand some of the organizational technical debt Strong teamwork and problem-solving skills Ability to effectively present information in one-on-one as well as in large-group setups Excellent written and verbal communication skills with the ability to present complex information in a clear and concise manner to a variety of audience Minimum of bachelor s degree in Computer Science (or related field) from four-year college or university About the Day to Day Responsibilities of the Role Design and build high performance, scalable and reliable component-based applications using latest technologies such as AWS, Docker, Elasticsearch etc. Lead and mentor junior engineers Collaborate across teams for developing or enhancing product features Help define architecture & assist throughout refinement process Effectively communicate software solution expectations to internal customers, team members and other stakeholders in a timely and clear fashion Discuss the merits of various approaches with peers and junior engineers Develop new applications as well as enhance and support existing applications Provide guidance to resolve production problems in a timely manner by rapidly organizing and deploying the appropriate resources Continuously review problems to determine the root cause to prevent them in the future Ensure that secure coding practices are followed throughout the software life cycle Participate in planning meetings, retrospectives, daily stand ups, and other meetings as part of the software development process Provide guidance to team members to research and experiment with new tools and technologies, build working PoCs, conduct knowledge sharing sessions and provide recommendations for product improvement Champion own ideas as well as teams ideas Learn in area of leadership, management and agile Understand the view of all the scrum teams from an engineering and architectural perspective as well as the business objectives Help identify organizational impediments

We are seeking an enthusiastic and motivated person to join us in testing solutions for Insurance/Reinsurance risk modeling. You will be responsible for testing the software in an agile environment. Requirements: Essential Minimum of bachelor s degree or equivalent in Computer Science, Engineering or Mathematics. Minimum 6 - 8 Years experience working in an Agile software development team. Knowledge of C#, C++, Java or any other object-oriented programming language. Strong knowledge & hands-on-experience of data management tools including but not limited to SQL/R/Python and Excel. Excellent verbal and written communication skills. Good analytical skills with strong attention to detail. Experience in working with global teams. Desirable Knowledge of insurance/reinsurance. Experience in working with large datasets. Roles & Responsibilities: We are seeking an enthusiastic and motivated person to join us in testing solutions for Insurance/Reinsurance risk modeling. You will be responsible for testing the software in an agile environment. We are looking for a candidate who can comprehend new technologies, come up to speed quickly and adapt to evolving requirements. Analyze functional requirements and design specifications & create test plans and test cases, execute & validate the test results; ensure the product meets requirements of accuracy. Automate test cases, debug and fix automation issues. Create a robust acceptance & regression testing repository. Discover, debug, document and verify software anomalies. Document test artifacts; evaluate testing results and track them using internal tools/processes. Communicate critical issues and status updates in a timely manner. Address queries from Product Management, Software Development Group and Client Servicing team s w.r.t our software products in a timely manner. Identify QA and testing issues; generate & implement solutions for process improvement. Responsible for risk identification, escalation & mitigation. Provide QA metrics as defined. Be the point of contact for scrum teams from a QA perspective. Contribute to the training of new hires & ramping them up to speed. Work collaboratively with a global team.