Total 123 software engineer job vacancies in Cebu City

Data Engineer will work closely with the rest of the product team and business peers to effectively execute Data project initiatives. This person should be able to deliver in a fast-paced and deadline-driven environment. Along with development, candidate will be responsible for maintenance of the data applications and would be expected to automate the processes with no or minimal human intervention. 

Shift Assignment: Mid Shift

The Site Reliability Engineer (Systems Engineer) works In the Infrastructure Operations team and closely Interacts with development, cloud platform engineering and architecture teams to run and operate cloud-native, DevOps delivered, highly scalable and fault tolerant systems and services. The SRE Engineer ensures that internally and externally facing systems meet and exceed ambitious SLOs (Service Level Objectives) and are continuously improved. This includes deployments and monitoring of all systems through established tools. The incumbent is an intellectually curious passionate technologist up to date with technology trends in the industry, equally relishing challenges to optimize existing systems and services, and challenges to introduce modern technologies. They will execute, monitor, and assist in the continuous improvement of the operational running of our services. The incumbent will execute operations and engineering projects and provide support for and administration of all DevSecOps tools, cloud automation, critical business applications and platforms, and associated systems to build and run software in the cloud.

• Provides guidance to engineering and operations teams on enabling and managing end to end availability and performance of mission critical services.
• Executes established automation for
• Participates in incident response, root cause/postmortem analysis, and drives production improvements for key issues that result in business opportunity for Arch.
• Works on building configuration automation to eliminate waste and manual/repetitive tasks, prevent problem recurrence, and to respond to various service alerts and condition metrics.
• Supports Kubernetes deployments in Azure, including cluster management, upgrades, security policies, application deployment with Argo CD using git and harness pipelines to deploy in collaboration with engineering and development teams.
• Supports DevSecOps tools, pipeline, automation, and infrastructure-as-code scripts and continuously monitors the industry landscape to improve and expand to further speed to market and delivery team autonomy.
• Knows security is job one and includes security in all plans.
• Implements, executes and manages Configuration as Code automation
• Executes tasks aligned to projects in the operations space (upgrades, rollouts of technology, )
• Promotes a continuous improvement, innovation, and collaboration culture across
• Builds and strengthens relationships and partnerships with corporate infrastructure leads and
• Perform other operational duties as required.

Shift Assignment: Mid Shift

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth. This position is responsible for assisting with the design and execution of automated diagnostic test plans to ensure that our services meet the highest quality standards and business requirements. Other tasks include developing and running new tests, reporting on the results and collaborating with other engineers to diagnose and fix issues. This role is for an individual that is attentive to detail and open to exploring and implementing new technology and processes to improve the QA process.

• Performs test planning activities as required.
• Creates and modifies test data.
• Creates and modifies test cases.
• Automation Testing – Set up and maintain automation tests and be involved with CI CD. 
• Executes test cases recursively and record/communicate results.
• Works with Agile team and stakeholders to communicate defect information

Shift Assignment: Mid Shift

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth.  This position will support the technical implementation of predictive models and analytical tools of the Strategic Analytics team.  The position requires strong Python and API experience, as well as user-facing application support experience.  The role is for an individual who is open to exploring and implementing new technology in Azure and Databricks, as the team is dynamic and the technology needs and requirements are fluid and will evolve over time.

• Develop and maintain Azure Functions and APIs
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for performance and best practice
• Document technical workflows and implementation processes
• Create and maintain implementation testing scripts (unit and bulk)
• Collaborate with project stakeholders and other developers
• Code development and deployment using VS Code and GitHub
• Contribute and enforce evolving best standards and practices

Shift Assignment: Mid Shift

The Data Visualization Developer is responsible for design, construction and unit testing of assigned components/modules.  The candidate will collaborate with Business Analysts and SMEs to perform detailed requirement analysis.  The candidate will provide production implementation and post-production support and be part of the US IT team.

• Provide expertise in design, development and implementation of PowerBI reports
• Design, model and develop BI reporting and analysis applications
• Provide functional and technical guidance to business teams when needed
• Conduct meetings with business users to determine project requirements and milestones
• Develop knowledge on business intelligence skills and processes
• Develop best practices to achieve project objectives and deliverables
• Develop positive working relationship with business users and other department staff
• Stay updated with ongoing business development tools
• Responsible for any other ad hoc duties assigned

Shift assignment: Mid Shift

The Software Engineer is responsible for the development, implementation and maintenance of solutions within the General Insurance Team. Working within an Agile environment the ideal candidate will be skilled in C#, HTML/CSS, Javascript, SQL (Microsoft and/or Snowflake SQL). Experience of Angular or other web frontend frameworks is nice to have.

The candidate will perform analysis, design, coding, debugging, testing, and support of solutions, utilising innovative applications in DevOps projects, models for complex systems and Enterprise integration.

The candidate will also be responsible for developing and maintaining web applications, API’s and ensure code is developed/maintained configured using the various build tools available from DevOps.

• Design, develop and maintain scalable, automated, derived / or non-derived, insightful data-marts and tables which will be the main input for the models, reports and dashboards
• Working within an Agile environment, within 3-week sprints, delivering quality code or data enhancements and reports for different departments.
• From User Stories, look to provide accurate and timely data, that is trusted and understood by the business.
• Obtaining, transforming and maintaining large quantities of data.
• Solving data quality issues, providing data lineage from source.
• Focus on building and improving a web based application in asp.net and design innovative solutions using .Net.
• Utilising the full Microsoft stack, enable the end user to fully understand the data delivered that allows full transparency back to the various source systems.
• Document all changes that have taken place, including commentary within the source code.
• Keep team and APM apprised of progress
• Coordinate with APM and Enterprise Architect to adhere to Enterprise Architecture principles, software development best practices, coding, compliance and security standards
• Work on performance tuning, code optimisation, refactoring, automation and CI/CD implementation
• Offer suggestions to stakeholders on devising effective and efficient approaches to achieve business objectives
• Manage engineering risks by proactively tracking and communicating issues, and devising methods to mitigating them
• Liaise with other teams to coordinate interdependencies and resolve issues
• Supports the resolution of in-depth user questions and production issues following support process and SLA’s
• Maintain a working knowledge of new technology and software engineering standards, practices and tools
• Provide input to the APM and DPM for the creation of Product Roadmap and High Level Estimates
• Review code, designs and other technical documentation prepared by other members of the team.
• Provide tech leadership and guidance to junior members of the team.
• Collaborate with IT management to define and develop documentation and engineering artefact standards, guidelines, processes, and templates
• Positive and self-motivated with a high level of enthusiasm and willingness to learn and self-teach new and advance software functions

Shift assignment: Night Shift

The QA Engineer II is responsible for testing of all software product changes.  The incumbent partners with internal and external stakeholders to ensure products conform to the desired quality standard.  This role requires technical skills and a high degree of problem solving skills.  The individual will be expected to actively contribute towards the team and organizational goal of continuous process improvement.  This role requires strong communication skills and the ability to work well with others.  This role will focus on configuring and setting up test automation.

1. Soft Skills

• 1. Ability to work well under pressure.
• 2. Ability to work well with others.
• 3. Ability to be flexible and adapt to changes quickly.

2. System Analysis

• 1. Learns and maintains knowledge of the business applications for the products being tested.
• 2. Follows software testing corporate standards.
• 3. Keeps stakeholders updated with testing status.
• 4. Maintains test scenarios and test cases.

3. Test Planning and Execution

• 1. Performs test planning activities as required.
• 2. Creates and modifies test cases.
• 3. Creates and modifies test data.
• 4. Executes test cases and records results in test management system.
• 5. Automation Testing – Set up and maintain automation tests and be involved with CI CD.

4. Defect Management

• 1. Identifies software defects.
• 2. Creates and manages assigned defects in defect management system.
• 3. Determines defect severity based upon corporate standards.
• 4. Works with Agile team and stakeholders to communicate defect information.
• 5. Retests defect when issue has been resolved.
• 6. Provides additional documentation to software engineers as required

Shift Assignment: Mid Shift

Strategic Analytics is a growing team at Arch that has established itself as a driving force in the success of the business. We focus on implementing solutions that improve profitability and growth. To broaden our impact, we have expanded our focus to deliver business-driven intelligent data automation capabilities that combine data from external vendors with intelligent document processing (IDP) technologies. This primarily includes working Azure Logic Apps and Document Intelligence. As a key member of the Strategic Analytics team, you will support the implementation of IDP/AI opportunities across operations, claims, finance, and underwriting teams. 

• Develop and maintain Azure Logic Apps and APIs
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for monitoring, performance, and best practices
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Code deployment using GitHub
• Collaborate with project stakeholders and other developers
• Collaborate with data scientists to implement predictive models and analytic solutions
• Document technical workflows and monitoring processes
• Contribute and enforce evolving best standards and practices

Shift Assignment: Mid Shift

Strategic Analytics is a growing team at Arch. The team develops innovative predictive models and analytical tools to improve profitability and growth. This position will help support the data engineering needs across a growing portfolio of high-profile analytics projects by developing complex data structures and pipelines leveraging a diverse set of tools and languages. This includes the following cloud based technologies: Databricks, Snowflake, Spark, Python and Azure Data Factory. As a key member of the Strategic Analytics team, you will advance our data engineering capabilities helping the team analyze data faster.  

• Work closely with predictive modelers to assemble large, complex data sets that help solve business problems and increase profitability
• Perform data manipulation and transformation using SQL and Python
• Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
• Discover and explore new sources of data with curiosity and creativity
• Create and maintain optimal data pipeline architecture
• Author detailed and comprehensible documentation of data pipelines and technical solutions
• Ensure data quality and completeness

Strategic Analytics is a growing team at Arch. The team develops innovative predictive models and analytical tools to improve profitability and growth. This position will help support the data engineering needs across a growing portfolio of high-profile analytics projects by developing complex data structures and pipelines leveraging a diverse set of tools and languages. This includes the following cloud based technologies: Databricks, Snowflake, Spark, Python and Azure Data Factory. As a key member of the Strategic Analytics team, you will advance our data engineering capabilities helping the team analyze data faster.  

• Work closely with predictive modelers to assemble large, complex data sets that help solve business problems and increase profitability
• Perform data manipulation and transformation using SQL and Python
• Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
• Discover and explore new sources of data with curiosity and creativity
• Create and maintain optimal data pipeline architecture
• Author detailed and comprehensible documentation of data pipelines and technical solutions
• Ensure data quality and completeness

Shift Assignment: Night Shift

The Senior Systems Engineer will be part of a remote team responsible for building and maintaining Arch's IT infrastructure as we move from private data centers to the hybrid cloud. The engineer will build, deploy or fine-tune Microsoft Azure and AWS services for internal customers around the globe. The engineer will also build, deploy and maintain compute and storage platforms in our on-premise data centers.

• Build and maintain systems infrastructure in the private data center and public cloud.
• Migrate services from private data centers to public cloud.
• Design and implement a variety of Azure-based solutions using cloud automation
frameworks (Terraform, GitHub) and manually.
• Responsible for compute, storage, and data protection platforms in multiple data centers.
• Automation of system processes, day-to-day tasks, and customer requests.
• Patch storage and compute systems for stability and increased security.

As a QA Automation Engineer in our Enterprise Data department, you will be responsible for creating and managing automated tests to identify issues with the ETL process to ensure the quality of data in the Enterprise Data Warehouse.

The role involves working together with the onshore Enterprise Data team to decide on the required tests on the process, automate them through creating stored procedures, custom dbt tests and scheduling these as part of the ETL process which loads data from source into the EDW.

• Translate project requirements into effective and comprehensive test cases.
• Define clear testing objectives that align with overall project goals.
• Establish the testing scope, prioritizing critical features and functionalities.
• Document expected deliverables, such as detailed test plans, scripts, and reports.
• Use dbt to build tests that ensures the ETL process is working as intended
• Automate the common manual testing done by the QA through creating macros in dbt
• Build and monitor automated system health checks
• Collaborate with Enterprise Data Engineers to investigate root cause of issues and suggest resolutions.
• Orchestrate data testing solutions using airflow
• Be able to support the team in doing releases
• Develop and maintain test automation frameworks, integrating them with CI/CD pipelines.
• Collaborate effectively with developers to implement testing strategies at lower levels, facilitating a "shift left" approach and promoting early defect detection.
• Take ownership of application quality from requirements gathering through development and testing, ensuring a high standard of product excellence

As a QA Automation Engineer in our Enterprise Data department, you will be responsible for creating and managing automated tests to identify issues with the ETL process to ensure the quality of data in the Enterprise Data Warehouse.

The role involves working together with the onshore Enterprise Data team to decide on the required tests on the process, automate them through creating stored procedures, custom dbt tests and scheduling these as part of the ETL process which loads data from source into the EDW.

• Translate project requirements into effective and comprehensive test cases.
• Define clear testing objectives that align with overall project goals.
• Establish the testing scope, prioritizing critical features and functionalities.
• Document expected deliverables, such as detailed test plans, scripts, and reports.
• Use dbt to build tests that ensures the ETL process is working as intended
• Automate the common manual testing done by the QA through creating macros in dbt
• Build and monitor automated system health checks
• Collaborate with Enterprise Data Engineers to investigate root cause of issues and suggest resolutions.
• Orchestrate data testing solutions using airflow
• Be able to support the team in doing releases
• Develop and maintain test automation frameworks, integrating them with CI/CD pipelines.
• Collaborate effectively with developers to implement testing strategies at lower levels, facilitating a "shift left" approach and promoting early defect detection.
• Take ownership of application quality from requirements gathering through development and testing, ensuring a high standard of product excellence

As a QA Automation Engineer in our Enterprise Data department, you will be responsible for creating and managing automated tests to identify issues with the ETL process to ensure the quality of data in the Enterprise Data Warehouse.

The role involves working together with the onshore Enterprise Data team to decide on the required tests on the process, automate them through creating stored procedures, custom dbt tests and scheduling these as part of the ETL process which loads data from source into the EDW.

• Translate project requirements into effective and comprehensive test cases.
• Define clear testing objectives that align with overall project goals.
• Establish the testing scope, prioritizing critical features and functionalities.
• Document expected deliverables, such as detailed test plans, scripts, and reports.
• Use dbt to build tests that ensures the ETL process is working as intended
• Automate the common manual testing done by the QA through creating macros in dbt
• Build and monitor automated system health checks
• Collaborate with Enterprise Data Engineers to investigate root cause of issues and suggest resolutions.
• Orchestrate data testing solutions using airflow
• Be able to support the team in doing releases
• Develop and maintain test automation frameworks, integrating them with CI/CD pipelines.
• Collaborate effectively with developers to implement testing strategies at lower levels, facilitating a "shift left" approach and promoting early defect detection.
• Take ownership of application quality from requirements gathering through development and testing, ensuring a high standard of product excellence

The QA Engineer executes manual and automated testing by writing scripts and creating automation scenarios for repeated execution. Using different automation tools, the QA Engineer will design, test, and deploy effective test automation solutions.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to document and plan test cases for regression, Integration, and automation test plans and test cases.
• Writes test automation scripts (i.e. Python, Java, Java script, C# etc.)
• Troubleshoots existing automation and optimizes the automation framework.
• Supports functional validation and sprint activities.
• Communicates with development teams, other product teams, and management to ensure proper test coverage of existing and new features and functionality.
• Build upon an existing framework to develop & execute automated test plans against developed features. Identify and report defects, work with team to resolve.
• Continuous improvement of automation framework and workflow processes, keep solutions up to date with latest technologies.
• Lead scrum test teams by example - encourage collaboration, contribution, and commitment to the teams’ shared goals.
• Guide and mentor junior team members on latest trends in automation.

The QA Engineer executes manual and automated testing by writing scripts and creating automation scenarios for repeated execution. Using different automation tools, the QA Engineer will design, test, and deploy effective test automation solutions.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to document and plan test cases for regression, Integration, and automation test plans and test cases.
• Writes test automation scripts (i.e. Python, Java, Java script, C# etc.)
• Troubleshoots existing automation and optimizes the automation framework.
• Supports functional validation and sprint activities.
• Communicates with development teams, other product teams, and management to ensure proper test coverage of existing and new features and functionality.
• Build upon an existing framework to develop & execute automated test plans against developed features. Identify and report defects, work with team to resolve.
• Continuous improvement of automation framework and workflow processes, keep solutions up to date with latest technologies.
• Lead scrum test teams by example - encourage collaboration, contribution, and commitment to the teams’ shared goals.
• Guide and mentor junior team members on latest trends in automation.

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth.  This position will support the technical implementation of predictive models and analytical tools of the Strategic Analytics team.  The position requires strong Python and API experience, as well as user-facing application support experience.  The role is for an individual who is open to exploring and implementing new technology in Azure and Databricks, as the team is dynamic and the technology needs and requirements are fluid and will evolve over time.

• Develop and maintain Azure Functions and APIs
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for performance and best practice
• Document technical workflows and implementation processes
• Create and maintain implementation testing scripts (unit and bulk)
• Collaborate with project stakeholders and other developers
• Code development and deployment using VS Code and GitHub
• Contribute and enforce evolving best standards and practices

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth.  This position will support the technical implementation of predictive models and analytical tools of the Strategic Analytics team.  The position requires strong Python and API experience, as well as user-facing application support experience.  The role is for an individual who is open to exploring and implementing new technology in Azure and Databricks, as the team is dynamic and the technology needs and requirements are fluid and will evolve over time.

• Develop and maintain Azure Functions and APIs
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for performance and best practice
• Document technical workflows and implementation processes
• Create and maintain implementation testing scripts (unit and bulk)
• Collaborate with project stakeholders and other developers
• Code development and deployment using VS Code and GitHub
• Contribute and enforce evolving best standards and practices

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth.  This position will support the technical implementation of predictive models and analytical tools of the Strategic Analytics team.  The position requires strong Python and API experience, as well as user-facing application support experience.  The role is for an individual who is open to exploring and implementing new technology in Azure and Databricks, as the team is dynamic and the technology needs and requirements are fluid and will evolve over time.

• Develop and maintain Azure Functions and APIs
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for performance and best practice
• Document technical workflows and implementation processes
• Create and maintain implementation testing scripts (unit and bulk)
• Collaborate with project stakeholders and other developers
• Code development and deployment using VS Code and GitHub
• Contribute and enforce evolving best standards and practices

We are looking for a senior level Infrastructure Database Administrator who will be part of the Infrastructure Operations team managing and maintaining the server and database infrastructure. Including but not limited to operational projects of migration and optimization of databases on prem as well as on the cloud.

Responsibilities:

• SQL Server upgrades/migrations
• Performance Tuning – review critical databases and improve the performance including indexing, SQL tuning
• Database Jobs Schedules – migrate all database jobs to JAMS centralized enterprise scheduling
• Monitoring and Alerting – setup database monitoring, adjust thresholds and alerting
• Database health checks
• Database Re-orgs
• New product/application support activities
• Database automation – automating database tasks
• Database DevOps – identify tools to include database deployments through CI/CD pipelines
• Database version control – ensure the database across all the environments are in synch
• Disaster Recovery – Test and Validate database recovery mechanisms and support DR testing
• Creation and management of databases in on-prem servers, cloud servers and cloud manage instances.
• Documentation
• On-Call rotation
• Knowledge of SQL Server, Oracle, Postgress, MongoDB

We are seeking a highly skilled backend developer to join our team. The ideal candidate will have experience in .NET Core, Azure, microservices, SQL, and AKS. In this role, you will be responsible for designing, developing, and maintaining the backend of our applications. 

• Design, develop, and maintain the backend of our applications using .NET Core, Azure, microservices, SQL, and AKS.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automatization.
• Understand functional requirements.
• Design and code current and new business functionality in the strategic platform.
• Ensure solutions conform to best practice design.
• Strong communication and team-working skills.
• Pro-active and cooperative attitude.
• Managing deployment of applications.
• Excellent Analytical ability and showing keen interest to learn new platforms and technologies.
• Experience in Insurance/Reinsurance domains will be an added bonus

Arch investment Management Ltd. (AIML), based in Bermuda, is a wholly
owned subsidiary of Arch Capital Group Ltd., a leading insurance and reinsurance
company. Arch Capital has investable assets of over $36 bn. Arch Investment
Management manages Arch Capital and its subsidiaries' portfolios. The continued
growth of the company has created the need to fill a new position within our Risk
and Quantitative team to help manage our data.

Innovative Solutions: Design and implement cutting-edge solutions across
Cloud, DevOps, and Data Engineering to streamline our processes.
- Data Stewardship: Take ownership of all data managed in-house, sourced from
top-tier vendors like BlackRock, Clearwater, Bloomberg, ICE, BONY, and
external managers.
- Collaborative Onboarding: Partner with business units and IT together to
onboard new data sources and enhance our ingestion processes.
- Process Enhancement: Continuously develop and refine data ingestion
processes, emphasizing robust data governance and control mechanisms.
- Architectural Design: Play a pivotal role in designing our data storage
systems and ETL processes to ensure efficiency and scalability.
- Strategic Collaboration: Work closely with AIM's GSO partner to oversee and
improve manual or ad hoc data ingestion tasks.
- Comprehensive Documentation: Maintain detailed documentation of all data
engineering processes and solutions to ensure clarity and continuity.
- Quality Assurance: Develop and execute rigorous test plans to guarantee the
reliability and accuracy of our data pipelines and systems.

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth. This position is responsible for assisting with the design and execution of automated diagnostic test plans to ensure that our services meet the highest quality standards and business requirements. Other tasks include developing and running new tests, reporting on the results and collaborating with other engineers to diagnose and fix issues. This role is for an individual that is attentive to detail and open to exploring and implementing new technology and processes to improve the QA process.

• Performs test planning activities as required.
• Creates and modifies test data.
• Creates and modifies test cases.
• Automation Testing – Set up and maintain automation tests and be involved with CI CD. 
• Executes test cases recursively and record/communicate results.
• Works with Agile team and stakeholders to communicate defect information

Arch investment Management Ltd. (AIML), based in Bermuda, is a wholly
owned subsidiary of Arch Capital Group Ltd., a leading insurance and reinsurance
company. Arch Capital has investable assets of over $36 bn. Arch Investment
Management manages Arch Capital and its subsidiaries' portfolios. The continued
growth of the company has created the need to fill a new position within our Risk
and Quantitative team to help managing our current reporting dashboards using
Power BI technology.

• Design and develop high-quality, responsive user interfaces for web and
• mobile applications.
• Conduct user research, useability testing, and gather feedback to inform design decisions.
• Create wireframes, prototypes, and high-fidelity mockups to effectively communicate design concepts.
• Implement and maintain UI components using modern frontend technologies and framework.
• Write clean, maintainable, and well-documented code.
• Optimize applications for maximum speed and scalability.
• Troubleshoot and debug issues across the entire stack.
• Participate in code reviews to ensure code quality and best practices.

Arch investment Management Ltd. (AIML), based in Bermuda, is a wholly
owned subsidiary of Arch Capital Group Ltd., a leading insurance and reinsurance
company. Arch Capital has investable assets of over $36 bn. Arch Investment
Management manages Arch Capital and its subsidiaries' portfolios. The continued
growth of the company has created the need to fill a new position within our Risk
and Quantitative team to help managing our current reporting dashboards using
Power BI technology.

Maintain and improve AIM’s existing Power BI dashboards
- Design and implement new dashboards w/ advanced charts, data tables and other
visuals based on business users’ requirements
- Understand and participate in the data storage backend design which powers
the visuals inside Power BI