JOB SUMMARY

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.

Soft Skills

• Strong oral and written communication skills
• Strong problem-solving skills.
• Ability to work well under pressure.
• Ability to work well with others.
• Ability to be flexible and adapt to changes quickly.
• Ability to influence others in order to improve processes and application quality.
• Ability to work independently.
• Ability to mentor others

System Analysis

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

Test Planning and Execution

• Performs test planning activities as required
• Creates and modifies test cases.
• Creates and modifies automated test scripts.
• Creates and modifies test data.
• Executes test cases and records results in

The data analyst 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

This role supports various finance ERP and reporting applications including configuration, maintenance, administration, and process documentation.  This position will report to the Finance Business Systems Administration Manager. 

• Administering, configuring, and providing end user support for finance system ERP applications and reporting tools
• Be a power user / highly proficient user of our financial systems, always communicating various features to stakeholders and sharing best practices to support user training.
• Help to streamline finance processes you support. Understanding the impacts of changes recommended and how to translate them into business requirements
• Develop and maintain system process documentation, job aids and flows
• Participate in scheduled system upgrades including regression / patch testing
• Be a change advocate, leading finance community towards modernization of technologies and processes.

Have you ever wondered how insurance companies calculate the price of insurance policies?

The Corporate Actuarial Data & Technology Team is a dynamic, growing team at Arch. This team implements innovative insurance pricing models and analytical tools to improve profitability and growth across a wide range of Property & Casualty insurance products.

The SDET will develop automated tests for the platform supporting real-time rating engines that calculate insurance premiums. They will be responsible for the creation and improvement of the automated testing framework that enables the development of our organizational goals and deliverables. They provide technical guidance and ensure the use of sound engineering practices. As a key member of the Corporate Actuarial Data & Technology data engineering team, they will advance our implementation capabilities and help our team deliver solutions faster.

• Test and support best-in-class real time rating implementations leveraging a diverse set of tools
• Work with strategic partners to solve business problems by developing testing solutions
• Configure automated testing workflows on cloud infrastructure
• Create and maintain robust testing CI/CD pipelines to evaluate stability and performance for rating engine and API deployment
• Validate logging framework across all rating implementations
• Work with development team to improve implementation and testing practices
• Provide the appropriate level of documentation of sources and technical solutions
• Identify, design, and implement internal process improvements
• Build strong partnerships with peers across the organization to support implementation-related goals
• Explore new technologies with curiosity and creativity

Have you ever wondered how insurance companies calculate the price of insurance policies?

The Corporate Actuarial Data & Technology Team is a dynamic, growing team at Arch. This team implements innovative insurance pricing models and analytical tools to improve profitability and growth across a wide range of Property & Casualty insurance products.

The Implementation Engineer will implement the platform supporting real-time rating engines that calculate insurance premiums. They will be responsible for the creation, design, development, and continuous improvement of implementation services in accordance with established organizational goals and deliverables. They provide technical guidance and ensure the use of sound engineering practices. As a key member of the Corporate Actuarial Data & Technology data engineering team, they will advance our implementation capabilities and help our team deliver solutions faster.

• Create and support best-in-class real time rating implementations leveraging a diverse set of tools
• Work with strategic partners to solve business problems by developing implementation solutions
• Configure and maintain optimal cloud infrastructure
• Create and maintain robust CI/CD pipelines for rating engine and API deployment
• Implement a thorough and reusable logging framework across all rating implementations
• Provide the appropriate level of documentation of sources and technical solutions
• Identify, design, and implement internal process improvements
• Build strong partnerships with peers across the organization to support implementation-related goals
• Explore new technologies with curiosity and creativity

The Business Operations Associate is responsible for interpreting, analyzing, and processing various activities in support of property and casualty insurance operations. The candidate will need to perform activities with a high degree of accuracy and consistently meet service level requirements.

• Interpret data, analyze results and process transactions in various systems in support of the following areas:
  • Submission Clearance
  • Policy & Endorsement Issuance
  • Other operations, as needed
• Prepare and issue documents and reports accurately, as per specifications
• Interact with team and customers as required to complete deliverables
• Communicate issues or queries on a timely basis to ensure quick resolution
• Assist with troubleshooting and improving processes, as needed

The Data Analyst (Arabic) is responsible for protecting the company from financial and reputational losses related to Sanctions and Embargoes amdAmti-Money-Laundering. The sanctions coordinator will be responsible for working on clearance sanctions processing. This is a Mid - shift position.

• Ensuring Sanctions compliance with the Regulators and Authorities globally.
• Monitoring suspicious transactions and resolving any concerns in a timely manner
• Conducting enhanced due diligence (EDD) reviews
• Processing issues from client screening for anti-money laundering activities and politically exposed persons
• Participating in any ad hoc project

The actuarial analyst is responsible for collection, organization, interpretation, analysis, scrubbing, documentation and dissemination of complex data sets. The candidate will be responsible for modeling complex problems, reconciling data sets, analyzing trends and summarizing data for review and analysis. The candidate will provide analysis, will process and compile data for reporting and analysis through creating queries, views and reports. The candidate will provide support and be part of the US Actuarial team.

Reporting to the SVP of Engineering, the Lead Backend Software Engineer will lead the design, development, and maintenance of our innovative direct to consumer insurance product.  You will have responsibility for both learning the current code base and architecture as well as continuing to innovate by building out additional new products.  Besides our consumer product, you will also own our Broker Portal, Compliance Platform, and our Open API, as well as supporting both Android and iOS Apps.

This is role where you should be comfortable making engineering and architectural decisions, helping to build out a team of backend developers, being both a mentor to junior programmers as well as a hands-on producer, and working closely with both Product and Front-end engineers.

What You’ll Do: 

• Lead high-level decision making for software development; oversee the “big picture” software architecture
• Create architectural approaches for software design/implementation to guide development team
• Determine design choices based on technical standards (platforms, coding standards) by considering insurance business requirements/compliance regulations by state and carriers
• Use scalable computing systems/frameworks (Hadoop, elastic search)
• Perform software development/coding in multiple programming languages (node.js,
• Use cloud services (AWS, GCP, RDS, Athena, S3, kinesis, SQS, SNS)
• Use Docker containers and Kubernetes (automating deployment, scaling, and management of containerized applications)
• Coordinate with software architects and engineers to ensure all solutions/implementations follow correct standards
• Work with business representatives to discuss their custom software requirements; use tools and methodologies to create representations for functions and user interface of desired products
• Develop high-level product specifications with attention to system integration and feasibility
• Define all aspects of development from appropriate technology choices and workflow to coding standards
• Oversee progress of development team to ensure consistency with initial design
• Provide technical guidance and coaching to developers and engineers
• Ensure software meets all requirements (quality, security, modifiability, extensibility, etc.) and supervise others in performing their duties

Reporting to the SVP of Engineering, the Lead Backend Software Engineer will lead the design, development, and maintenance of our innovative direct to consumer insurance product.  You will have responsibility for both learning the current code base and architecture as well as continuing to innovate by building out additional new products.  Besides our consumer product, you will also own our Broker Portal, Compliance Platform, and our Open API, as well as supporting both Android and iOS Apps.

This is role where you should be comfortable making engineering and architectural decisions, helping to build out a team of backend developers, being both a mentor to junior programmers as well as a hands-on producer, and working closely with both Product and Front-end engineers.

What You’ll Do: 

• Lead high-level decision making for software development; oversee the “big picture” software architecture
• Create architectural approaches for software design/implementation to guide development team
• Determine design choices based on technical standards (platforms, coding standards) by considering insurance business requirements/compliance regulations by state and carriers
• Use scalable computing systems/frameworks (Hadoop, elastic search)
• Perform software development/coding in multiple programming languages (node.js,
• Use cloud services (AWS, GCP, RDS, Athena, S3, kinesis, SQS, SNS)
• Use Docker containers and Kubernetes (automating deployment, scaling, and management of containerized applications)
• Coordinate with software architects and engineers to ensure all solutions/implementations follow correct standards
• Work with business representatives to discuss their custom software requirements; use tools and methodologies to create representations for functions and user interface of desired products
• Develop high-level product specifications with attention to system integration and feasibility
• Define all aspects of development from appropriate technology choices and workflow to coding standards
• Oversee progress of development team to ensure consistency with initial design
• Provide technical guidance and coaching to developers and engineers
• Ensure software meets all requirements (quality, security, modifiability, extensibility, etc.) and supervise others in performing their duties

Reporting to the SVP of Engineering, the Lead Backend Software Engineer will lead the design, development, and maintenance of our innovative direct to consumer insurance product.  You will have responsibility for both learning the current code base and architecture as well as continuing to innovate by building out additional new products.  Besides our consumer product, you will also own our Broker Portal, Compliance Platform, and our Open API, as well as supporting both Android and iOS Apps.

This is role where you should be comfortable making engineering and architectural decisions, helping to build out a team of backend developers, being both a mentor to junior programmers as well as a hands-on producer, and working closely with both Product and Front-end engineers.

What You’ll Do: 

• Lead high-level decision making for software development; oversee the “big picture” software architecture
• Create architectural approaches for software design/implementation to guide development team
• Determine design choices based on technical standards (platforms, coding standards) by considering insurance business requirements/compliance regulations by state and carriers
• Use scalable computing systems/frameworks (Hadoop, elastic search)
• Perform software development/coding in multiple programming languages (node.js,
• Use cloud services (AWS, GCP, RDS, Athena, S3, kinesis, SQS, SNS)
• Use Docker containers and Kubernetes (automating deployment, scaling, and management of containerized applications)
• Coordinate with software architects and engineers to ensure all solutions/implementations follow correct standards
• Work with business representatives to discuss their custom software requirements; use tools and methodologies to create representations for functions and user interface of desired products
• Develop high-level product specifications with attention to system integration and feasibility
• Define all aspects of development from appropriate technology choices and workflow to coding standards
• Oversee progress of development team to ensure consistency with initial design
• Provide technical guidance and coaching to developers and engineers
• Ensure software meets all requirements (quality, security, modifiability, extensibility, etc.) and supervise others in performing their duties

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

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

• Supervising all the activities of the Rooms Division, as well as other activities which relate to the effective and efficient operation of the hotel
• Acts as liaison with the other operating departments in terms of guest complaints or other related problems
• Handles and addresses guest concerns, ensuring the provision of quality guest service at all times
• Performs regular room inspections and of all public areas to ensure that standards are met

• Conveys the hotel's image and atmosphere by providing a warm and friendly welcome, being available and frequently visible in the hotel
• Manages, motivates and organises personnel in order to improve the quality and creativity of F&B services
• Develops strong relationships with guests with the aim of gaining their loyalty
• Uses creativity and innovation to facilitate commercial operations

• Prepares daily work order and project update reports
• Swimming pool equipment operation & pool water treatment
• Recording of chiller logs & relevant checklist, utilities consumption
• Checking periodically and recording of fresh water tank levels ensuring that sufficient maximum water level is maintained at all times

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

The Ceded Reinsurance Accountant will assume responsibility for all aspects of accounting for assigned ceded reinsurance contracts.

Job Responsibilities

• Verification of underwriting data for quota share and/or excess of loss contracts written by our fronting platform, Capital Solutions.
• Maintain the accuracy of premium information on excess of loss contracts written by the Capital Solutions platform including endorsements, premium adjustments, and cash allocations
• Maintain all aspects of quota share programs written by the Capital Solutions platform including bordereau reporting and posting, claims payments and cash allocation
• Verification and release of ceded reinsurance contracts written by the Bermuda underwriting ceded reinsurance team
• Monitor, and maintain within 90-day threshold, aging of accounts receivable/payable
• Liaise with brokers, claims department and underwriting departments regarding queries, outstanding receivables/payables, and premium adjustments
• Initiation of funding and withdrawal instructions in our Collateral Pay system to facilitate bordereaux settlements and collateral transactions
• Ad hoc administrative support to the Outwards Finance team as required
• Participate in systems enhancements including developing and executing test plans
• Additional projects and duties as required

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