This is a unique role that combines data science and analytics with data engineering and development. The incumbent performs complete roles of data lifecycle: from designing data architecture and structure, doing data analysis, processing, and optimization, including visualization & predictive models, up to developing programs or tools to integrate various sources and format of data with the enterprise data warehouse which could be in the cloud or on-premise. The ideal candidate should understand business and technical requirements, translating them to agile stories that help establish data-driven decision making across the organization.

This position works with Policy Services -  Correcting policies that need to changed, Data clean up issues, Debugging

Will be working closely with Bonie Sausa, training and shadowing him.

This is a unique role that combines data science and analytics with data engineering and development. The incumbent performs complete roles of data lifecycle: from designing data architecture and structure, doing data analysis, processing, and optimization, including visualization & predictive models, up to developing programs or tools to integrate various sources and format of data with the enterprise data warehouse which could be in the cloud or on-premise. The ideal candidate should understand business and technical requirements, translating them to agile stories that help establish data-driven decision making across the organization.

Data Clean Up

Correcting Policies

db script changes

Logging into Policies that need to be changed and making changes

Debugging

Scripting experience

Some Development experience

The Software & Data Engineer III develops, implements, and maintains data & software solutions that enable business operations to realize company goals and objectives. The incumbent performs complete end to end SDLC including analysis (data analysis), design, coding, debugging, testing, and support of software applications. They will be assigned to develop new data integration and transformation, software applications/systems, enhance/upgrade existing systems or provide production support. They work independently on projects of increased scope and complexity.

• Design and implement ETL processes for data transformation and preparation
• Deploy machine learning models to production environments
• Manage data pipelines for analytics and operational use
• Ensure data accuracy and integrity across multiple sources and systems
• Work in an Agile software development team to deliver new data ETL solutions, software and to maintain and support past and future solutions
• Participate in Agile ceremonies and collaborate with the Agile Program Manager (APM), Digital Product Manager (DPM), Business Systems Analyst (BSA), Quality Assurance Analyst (QA) and other Developers to clarify and refine requirements/user stories
• Translate user stories into engineering artefacts and complete software development work, which includes application design, coding, code review and testing
• Keep team and APM apprised of progress
• Works with data & software development peers to ensure that the engineering realization is in accordance with Enterprise Architecture principles and software development best practices.
• Work on performance tuning, code optimisation, refactoring, automation and DevOps (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

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. 

This is a hybrid role in mid-shift (3 to 4X onsite). Currently we are at Eton Centris (Just a few steps away from Q Ave MRT station however we are moving to BGC come Q3.

The Risk Compliance Specialist is responsible for evaluating, monitoring, and ensuring compliance with legal and regulatory requirements, industry standards, and internal policies within the organization. He/she analyzes potential risks, develop compliance strategies, and implement measures to mitigate risks and maintain a culture of compliance.

1. Compliance Monitoring - conduct regular assessments to monitor compliance with laws, regulations, and internal policies; identify areas of non-compliance and recommend corrective actions.

2. Risk Assessment - evaluate potential risks associated with regulatory requirements, industry changes, and business operations; develop risk mitigation strategies and action plans.

3. Policy Development - assist in the development, implementation, and maintenance of compliance policies, procedures, and guidelines; ensure that policies are updated to reflect changes in regulations and business practices.

4. Training and Awareness - develop and deliver compliance training programs to employees; promote awareness of compliance standards and best practices across the organization.

5. Investigations - conduct investigations into compliance issues, allegations of misconduct, or breaches of policies; prepare reports on investigation findings and recommend disciplinary actions or corrective measures as needed.

6. Reporting - prepare and submit regulatory reports and filings as required by applicable laws and regulations; maintain accurate records of compliance activities, findings, and resolutions.

7. Audits and Reviews - coordinate internal and external audits and reviews related to compliance matters; collaborate with audit teams to address findings and implement corrective actions.

8. Communication - communicate effectively with stakeholders, including senior management, legal counsel, regulatory authorities, and extern

The T&E Analyst is an integral member of the US Reinsurance Finance team and supports Arch’s T&E policies, system and processes. The T&E Analyst is primary responsible for auditing of expense reports, providing user support by resolving user requests and ensuring adherence with Arch’s T&E Policies.  The T&E Analyst assists in the communication with Concur users and provides assistance identifying payment discrepancies, past due balances and performing reconciliation between user account balances in Concur with company credit card statements. Ability to understand and uphold the policies set forth in Arch’s T&E Policies is essential. The ability to maintain confidentiality of user personal & financial data is required.

• Liaise with Shared Services Teams (T&E) on daily activities while acting as point of contact.
• Perform audits of expense reports to proactively identify issues and ensure compliance with Arch’s T&E policies across numerous geographical locations. Assist users with issue resolution where necessary.
• Manage and timely resolve user questions, using internal ServiceNow ticketing system, on expense report payment policies, procedures and system processes, promoting a positive user experience.
• Ensuring the accurate submission of expense reports in Concur by communicating and assisting users on how to properly use Concur’s Expense system.
• Support local Concur teams and reporting requests from other internal customer.
• Update process documentation and user guides as necessary. Communicate best practices and lessons learned on common user/system errors.
• Provide support to members of Finance as needed.

The Underwriting Assistant is responsible for collection, organization, interpretation, analysis, scrubbing, documentation and dissemination of complex data sets. The candidate will provide analysis, will process and normalize the data to ensure data integrity and will create queries, views and reports. The candidate will review, input reinsurance submission data, set up the Property pricing models, create a comparison to the expiring contract wording, and document files in the directory after business is bound. Communication with the underwriters is essential. 

• Interpret data, analyze results, and provide ongoing reports
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in a complex data sets
• Filter and scrub data, and review reports and performance indicators to locate and correct code problems
• Locate and define new process improvement opportunities

The catastrophe modeling analyst is responsible for collection, organization, scrubbing, interpretation, analysis, documentation and dissemination of cat modeling exposure and results. The candidate will process insured exposure schedules to ensure data integrity through queries, views and reports.

• Interpret data, analyze results and provide ongoing reports
• Develop and implement data cleansing techniques and strategies that optimize workflow efficiency and data quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze and interpret trends or patterns in exposure and loss data sets
• Filter and scrub data, evaluate for performance indicators to locate and correct code problems
• Locate and define new process improvement opportunities

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

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

• Cultivate a continuous improvement culture by leading improvement initiatives and building improvement capabilities to deliver value to our customers in the most productive and Agile way; safe, high quality, timely and cost effective
• Influence the Syngenta culture and ways of working to a point where problems are easily identified, quickly resolved and prevented from reoccurring in the future
• Serve as a core member on the Syngenta Seeds Business Improvement Team
• Support key stakeholders across the end to end Seeds business to assess the flow of value from suppliers to customers and identify targeted improvement opportunities
• Lead improvement initiatives working with key stakeholders to shape, manage, implement and sustain improvements
• Support key stakeholders to track their improvement initiatives to achieve their productivity targets.
• Build improvement capability, focused on delivering value to our customers in the most productive way, by teaching, coaching, mentoring and supporting employees and teams to develop their business improvement skills and enable them to use improvement techniques on their own.
• Lead the use of Lean Six Sigma and other relevant improvement methodologies, techniques and principles and support the development of an improvement focused culture within key stakeholder groups
• Provide input and influence the Seeds business Lean Six Sigma improvement approach to build a strong culture of data driven decision making.
• Promote the valuation of benefits through favorable KPI movement and the understanding of related financial impacts.
• Support an active learning environment with the aim of enhancing capabilities and ways of working on the core Business Improvement team

The Software Engineer is responsible for development, implementation, and maintenance of software solutions. The role includes working on Front-end and back-end systems. The main duties include understanding user requirements, translating them to Front/Back End code, developing database objects and APIs.

The candidate will provide analysis, design, coding, debugging, testing, and support of software applications.

1. Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to accurately capture stakeholder requests and system specifications and translate them into engineering artifacts, which typically include design specifications, source code, test scripts and test results.
2. Coordinates with software architects and Software engineer IVs to ensure that the engineering realization is in accordance with Enterprise Architecture principles and software development best practices.
3. As part of Agile teams, completes software development work which includes application design, coding, code review and testing. Keeps Agile team and APM apprised of project status.
4. Offers suggestions to stakeholders on devising effective and efficient approaches to achieve project and program objectives.
5. Manages engineering risks by proactively tracking and communicating issues and devising methods to mitigating them.
6. Liaises with other project and program areas to coordinate interdependencies and resolve issues.
7. Supports business units in the resolution of in-depth user questions and issues following production support process and SLA’s.
8. Maintains a working knowledge of new technology and software engineering standards, practices and tools.
9. Provides input to APM/DPM in creation of Product Roadmap, High Level Estimates

Collaborates with IT management to define and develop documentation & engineering artifact standards, guidelines, processes, and templates

The Senior ServiceNow Developer is responsible for design, development, and unit testing of ServiceNow Catalog Items automation and integration solutions. The candidate will engage with Business Analyst and SME to perform detailed requirement analysis. The candidate will provide production implementation and post-production support for ServiceNow modules and features such as Catalog Items and other aspects of ServiceNow.

• Design, architecture, maintenance, and enhancement of Catalog items.
• Create and maintain the current state of the ServiceNow platform architecture documentation.
• Communicate and collaborate with non-technical stakeholders to gather requirements, analyze the impact of new requirements, and configure the new requirements on the ServiceNow platform as per ITIL best practices.
• Develop technical design documents.
• Create well-structured test plans and coordinate testing activities, identify, document, and track software defects. Perform and facilitate regression testing of resolved defects.
• Translate technical complexities to non-complex and simple terms for project stakeholders and make sure they understand the effects of the design decisions on the areas of ServiceNow Platform.
• Support ServiceNow upgrades planning and execution.
• Manage and actively contribute to development efforts pertaining to modules of the ServiceNow platform using JavaScript, including support for newly developed modules or major releases.
• Participate in the configuration and customizations, as needed, based on customer needs.
• Participate in and contribute to an agile-based work intake and output delivery process that will support service provision and delivery in an iterative manner.

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

The position is responsible for operational support and management for operating system patching activities covering the global user workstation landscape.

This position will require deep analytical thinking with the ability to combine security related information from multiple data sources and using that data to determine deployment methods and timelines for software patches, registry updates, and other security related configurations.  The Engineer will work with business units to plan and coordinate the patching activities with a focus on minimizing business impact during the event and ensuring systems are returned to optimal state after patching activities have been completed.

In addition to patch management functions the team will also be responsible for the entire system lifecycle related to compliance which will include hardening for system builds, ongoing CIS standards, and compliance related configuration management.

This position will require working during business offer hours and weekends in order to minimize impact during the patching events.

• Develop and optimize pre- and post- patching process to ensure proper implementation without any outages.
• Evaluate patches based on risks and prioritize fixes in order to meet pre-determined deployment timelines for the patch risk level.
• Coordinate patch schedule with business units and other internal teams such as infrastructure management, security operations, governance & risk.
• Have the ability to create deployment patch packages using tools such as ManageEngine Patch Manager Plus, SCCM, WSUS, SolarWinds Patch Manager.
• Ensure patches are deployed and tested in pilot groups prior to full deployment to all user systems.
• Able to remediate vulnerabilities. Often, requiring fixes beyond system patches, which could include items like changing registry values, firewall changes, and other configuration items.
• Assist in the process for vulnerability and patch management ensuring they are compatible with the company's business needs and strategic objectives.
• Research, evaluate, develop, design and implement patch remediation standards following industry best practices
• Develop and implement patch and vulnerability remediation process including package creation, testing and deployment

Patching Administrators leveled up to Security Engineers focused on Vulnerability Management and Remediation.

A blend of Windows and Unix system engineering, patch deployment, vulnerability remediation, data analytics, and automation.

• Comptia Security Plus (Easy we study as a group)
• Excel Data Analysis
• Vulnerability Assessment & Remediation using Tenable SC and IO
• Enterprise Patching with Manage Engine EndPointCentral
   

Products we use

• Manage Engine End Point Central (Patching)
• Tenable sc & io (Vulnerabilities)
• Excel (DataAnalysis)
• Power BI (Reporting)
• Powershell\Python\Ansible\PowerAutomate (Automation)

PE Project Coordinator

• ·       Assist in facilitation and planning of internal team huddles
• ·       Assist in planning and implementation of medium-large scale projects
• ·       Support project documentation, including schedules and timelines.
• ·       Monitor project progress and handle any issues that arise.
• ·       Prepare and deliver progress reports and presentations.
• ·       Help maintain comprehensive project documentation and plans
• ·       Collaborate with cross-functional teams to achieve project goals.
• ·       Support the development and implementation of project

Arch Insurance Group is seeking a motivated aspiring actuary to join our team. Our group supports product development and rating filing across all admitted insurance products such as Workers Compensation, General Liability, Commercial Auto, Professional Liability, Property, Travel, Accident, Lenders and Surety, etc.

This position is an excellent opportunity for a new actuarial candidate looking for intellectual and professional challenges, learning actuarial skills and understanding various products in Property & Casualty insurance.

• Collaborate with other pricing actuaries and cross-functional business partners to rollout new programs/products and revise existing products & rate plans.
• Perform rate indication, impact analysis and competitor research to help develop rate plan.
• Maintain and enhance various tools and processes with programming applications (e.g. SQL, Snowflake, Python, VBA) to improve efficiency, scalability and speed-to-market.
• Learn and Understand Property & Casualty insurance products and actuarial concepts/techniques

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.

I. 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.
II. 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.
III. 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.
IV. 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

The Data Engineer II develops, implements, and maintains software solutions that enable business operations to realize company goals & objectives. The incumbent performs analysis, design, coding, debugging, testing, and support of software applications. May be assigned to develop new applications/systems, enhance/upgrade existing systems or provide production support. He/she works independently on moderately complex projects, receiving only general direction. May provide assistance and direction to less experienced peers.

Essential RESPONSIBILITIES and ACCOUNTABILITIES

1. Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to accurately capture stakeholder requests and system specifications and translate them into engineering artifacts, which typically include design specifications, source code, test scripts and test results.
2. As part of Agile teams, completes software development work which includes application design, coding, code review and testing. Keeps Agile team and APM apprised of project status.
3. Offers suggestions to stakeholders on devising effective and efficient approaches to achieve project and program objectives.
4. Manages engineering risks by proactively tracking and communicating issues, and devising methods to mitigating them.
5. Liaises with other project and program areas to coordinate interdependencies and resolve issues.
6. Supports business units in the resolution of in-depth user questions and issues following production support process and SLA’s.
7. Maintains a working knowledge of new technology and software engineering standards, practices and tools.
8. Provides input to APM/DPM in creation of Product Roadmap, High Level Estimates
9. Collaborates with IT management to define and develop documentation & engineering artifact standards, guidelines, processes, and templates

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 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

This position reports to the VP, GSO Business Service Delivery. The QA manager is responsible for overseeing all QA activities, including both the strategic and operational aspects.

• Leadership: Lead the Quality Assurance team and provide strategic direction to the development teams, driving quality through automation.
  • Oversee their execution and provide the necessary training, resources, and guidance to perform rigorous testing procedures effectively. (e.g., designing and implementing regression, functional, and integration test scripts).
• Quality Assurance Strategy: Develop and implement QA strategies.
  • Evaluate manual testing processes to identify defects, analyze test results, and evaluate improvements leading to automating those processes.
• Test Planning and Execution: Create and review test plans, ensuring adherence throughout the project.
  • Craft detailed QA plans, establishing testing protocols, and setting performance benchmarks that guarantee the reliability and consistency of outputs.
• Automation Expertise: Responsible for envisioning automation tools including defining capabilities and features, working with the engineering teams in the prioritization, delivery, and deployment of these tools.
  • Leading initiatives aimed at advancing automation, performance testing, and other advanced QA practices.
• Quality Analysis and Process Improvement: Collaborate with teams to execute test plans, including automated and manual tests.
• Test Case Validation: Ensure validation and optimization of test cases for improved software quality.
• Quality Metrics and Reporting: Establish and report on key quality metrics and KPIs.

Continuous Improvement: Drive initiatives to enhance QA processes and efficiency. Conduct regular audits and reviews to identify areas for improvement within current processes, thereby facilitating continual enhancement of quality standards.

Strategic Analytics is a growing team at Arch that designs and builds analytics and automation tools for users across Arch’s insurance operation. The team’s mission is to improve employee engagement, productivity, and responsiveness to facilitate growth. To be successful, we need create efficient business workflows that incorporate innovative technologies, such as: RPA, AI-powered intelligent document processing, data enrichment via third-party sources, and assisted decision making based on analytics.

As RPA Developer, you will play a crucial role in developing and establishing automation capabilities at Arch Insurance. You will support the RPA team with solution definition, build and implementation of RPA opportunities across Operations, Claims, Finance and Underwriting teams. This includes coordinating with Business SME’s and members of the Strategic Analytics (SA) team.

• Solution Development - building solutions in accordance with standard and internal design principles, conventions, and best practice using RPA
• Solution Design - working closely with the RPA Business Analyst as well as directly with business stakeholders to deeply understand the current state and design the most efficient and optimal to-be solution.
• Optimization - adopting continuous improvement mindset to all business processes
• Impact Analysis - awareness of how changes, including new or updated processes and automations will impact the business operations and customers.
• Maintain and demonstrate an up-to-date knowledge of toolsets used, industry software developments and best practice standards.
• Virtual Workforce Management – deploying automated processes in line with established Arch Change Control practices.
• Adhere to the RPA framework put in place, and ensuring status of all assigned tasks is regularly updated and all technical documentation is kept up to date
• Testing – working closely with the RPA Business Analyst authoring detailed business & technical testing scenarios and running System Integration Testing (SIT) and User Acceptance Testing (UAT)
• Initially support and maintain existing Live automations – including root cause analysis, clean-up and bug fixes, in line with established Arch Change Control practices.