The Finance Analyst will be responsible for processing invoices for posting and payments in Arch’s Accounts Payable system and ensuring that the relevant account balances are accurately updated by posting transactions. The Finance Analyst will also support tasks related to accounting and financial reporting. The candidate will provide support and be part of Arch’s Global Services Operations (GSO) Finance Team and will report to the Accounting Manager and Director of Finance.

• Accurate and timely turnaround on all payables for various entities
• Utilize complex cost center and intercompany allocation methodologies
• Assist with projects that entail analysis and reconciliation
• Provide customer service to internal and external customers
• Meet various deliverables for monthly and quarterly financial close
• Collaborate with the AP team for best practices and process improvement

A Sales Advisor is responsible for delivering the best customer experience that contributes to the store’s sales and profit. As a Sales Advisor, you’ll always put customers first, offer assistance, and share your product and fashion knowledge. You’ll create an environment that is easy for customers to shop through store operations and great garment care. You will also share your knowledge and skills with your colleagues, offering help where needed to build a positive working environment.

Key Responsibilities

• Provide great customer experience.
• Fold, hang, display, and merchandise garments to maximize selling opportunities.
• Actively process, stock and replenish garments on the sales floor and in the stock room.
• Open, unpack, and label merchandise with security tags.
• Support customer purchases and returns in the register.
   

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 Logic Apps 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 Logic Apps and Azure Data Factory pipelines
• Perform unit testing on all developed services
• Develop real time data transformations, extractions, and orchestration activities to support the automation activities
• Document technical workflows and implementation processes
• Collaborate with project stakeholders and other developers
• Code development and deployment using Azure Data Factory, Azure Portal, VS Code and GitHub
• Contribute and enforce evolving best standards and practices

Product background required. Relocate to Quezon City, Philippines - Relocation Assistance Provided

Job Description:

As a Sr. Backend Engineer, you will be a crucial part of our engineering team, responsible for designing, developing, and maintaining the back end components of our agri-tech platform and applications. The objectives being to lower financing and agri-inputs costs for farmers while stabilizing prices by developing the following:

1. AI based credit score system based on farmer transactional data
2. AI based price forecasting system based on supply and demand data at the trading posts and other sources
3. Agri-inputs online marketplace 
4. Fresh produce online marketplace
5. Fresh produce planting recommendation engine based on supply data to implement crop programming and minimize price  volatility.

You will work closely with our frontend engineers, product managers, and other stakeholders to deliver industry leading and innovative software solutions.

Key Responsibilities:

• Backend Development: Design, develop, and maintain server-side applications and APIs using Node.js and Adonis.js.
• Database Management: Work with relational and NoSQL databases (e.g., PostgreSQL, MongoDB) to store and retrieve data
• efficiently.
• API Integration: Integrate third-party APIs and services into our applications to extend functionality.
• Scalability: Build and optimize backend systems to ensure scalability, performance, and responsiveness.
• Security: Implement security best practices to protect user data and application assets.
• Code Quality: Write clean, maintainable, and well-documented code following coding standards and best practices.
• Testing: Develop and execute unit tests, integration tests, and end-to-end tests to ensure code quality.
• Collaboration: Collaborate with frontend engineers, product managers, and cross-functional teams to define APIs and deliver 
• features.
• Monitoring and Debugging: Implement monitoring and logging solutions to identify and resolve issues proactively.
• Documentation: Create and maintain technical documentation for backend systems and APIs.
• Continuous Improvement: Stay up-to-date with backend technologies and recommend improvements to enhance 
• development processes.

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience).
• At least 5 years of experience working as a Backend Engineer, with a focus on Node.js and Adonis.js.
• Strong proficiency in JavaScript and TypeScript.
• Experience with artificial intelligence (AI) preferably in the agricultural sector.
• Experience with database design and management, including SQL and NoSQL databases.
• Familiarity with RESTful API design and development.
• Knowledge of software architecture patterns, such as MVC and microservices.
• Understanding of version control systems (e.g., Git) and code collaboration platforms (e.g., GitHub).
• Experience with testing frameworks and methodologies (e.g., Jest, Mocha).
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills to collaborate effectively with cross-functional teams.
• Familiarity with DevOps practices and cloud platforms (e.g., AWS, Azure) is a plus.

The Senior Software Engineer 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.

• 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.
• 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.
• 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.
• Offers suggestions to stakeholders on devising effective and efficient approaches to achieve project and program objectives.
• Manages engineering risks by proactively tracking and communicating issues, and devising methods to mitigating them.
• Liaises with other project and program areas to coordinate interdependencies and resolve issues.
• Supports business units in the resolution of in-depth user questions and issues following production support process and SLA’s.
• Maintains a working knowledge of new technology and software engineering standards, practices and tools.
• 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 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.

The Senior Software Engineer 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. 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
10. Collaborates with IT management to define and develop documentation & engineering artifact standards, guidelines, processes, and templates

The Software Engineer will be assigned as a system configurator and is responsible for development, implementation, and maintenance of software solutions. The main duties include understanding user requirements, translating them to the required application/systems.

The candidate will provide analysis, design, configure, 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 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 Support Analyst provides end-user support in creating documentation for recurring tasks as well as assisting the team in setting up user accounts. This person diagnoses, troubleshoots and resolves basic and moderate technical problems. This person operates under defined processes and procedures and makes decisions regarding short-term priorities and work activities requiring interpretation of guidelines, policies and procedures. The Support Analyst will work closely with our Helpdesk, Desktop Technology, and ATS teams in supporting users in general IT problems.  This is a Night Shift role.

• Performing day-to-day support work for the company’s end users.
• Creating and deleting user accounts
• Assisting with Ad Hoc projects and backup support for the US Support team

A Sales Advisor is responsible for delivering the best customer experience that contributes to the store’s sales and profit. As a Sales Advisor, you’ll always put customers first, offer assistance, and share your product and fashion knowledge. You’ll create an environment that is easy for customers to shop through store operations and great garment care. You will also share your knowledge and skills with your colleagues, offering help where needed to build a positive working environment.

Key Responsibilities

• Provide great customer experience.
• Fold, hang, display, and merchandise garments to maximize selling opportunities.
• Actively process, stock and replenish garments on the sales floor and in the stock room.
• Open, unpack, and label merchandise with security tags.
• Support customer purchases and returns in the register.
   

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

The operations analyst 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

The operations analyst 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

The operations 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 provide support and be part of the Cash Management team.

• 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

We are seeking a strong Senior Systems Engineer to build out technical services in Microsoft Azure and some technical work in on-premise data centers.

(90%) Engineer will build, deploy or fine-tune Microsoft Azure services for internal customers around the globe. The main duties include understanding user requirements, designing technical components and deploying solutions in the Azure cloud space.

(10%) Using VMWare ESXi: Engineer will build new Windows server and Windows 10 systems in some corporate on-premise data centers. Secondly, engineer will help migrate selected Azure-based Windows Server platforms to VMWare ESXi. 

Responsibilities:

• Design and implement a variety of Azure-based solutions using cloud automation frameworks (Terraform, Github)
• Build Windows Servers and Windows 10 systems on VMWare ESXi (on-premise)
• Understand functional requirements, implement solutions and ensure solutions conform to best practice design. Solutions must adhere to company security requirements.
• Ability to prioritize work—balancing IT operations work with strategic engineering work
• Strong communication and team-working skills.
• Participate in a rotating on-call schedule and handle critical/priority incidents when paged
• Must be a self-starter, have a pro-active and cooperative attitude.
• Strong attention to detail
• Ability to work in a globally-distributed environment—with onshore and off-shore teams.
• Operational support for GoAnywhere managed file transfer platform (MFT)

The Support Analyst provides end-user support in creating documentation for recurring tasks as well as assisting the team in setting up user accounts. This person diagnoses, troubleshoots and resolves basic and moderate technical problems. This person operates under defined processes and procedures and makes decisions regarding short-term priorities and work activities requiring interpretation of guidelines, policies and procedures. The Support Analyst will work closely with our Helpdesk, Desktop Technology, and ATS teams in supporting users in general IT problems.  This is a Night Shift role.

• Performing day-to-day support work for the company’s end users.
• Creating and deleting user accounts
• Assisting with Ad Hoc projects and backup support for the US Support team

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 real-time analytic 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 includes working with artificial intelligence/machine learning, NLP, OCR, generative AI, and algorithmic-based solutions.

As a key member of the Strategic Analytics team, you will support the solution definition, build and implementation of IDP/AI opportunities across operations, claims, finance, and underwriting teams.  You will apply the right mix of technologies across the underwriting and claims functions.

Job Responsibilities

• Deliver automated document extraction and data enrichment solutions.

• Manipulate data using Python or SQL Server; develop ad hoc queries to investigate data anomalies and to summarize data for pattern detection.
• Manually label and validate small training data sets.
• Develop round-trip data flows that prepare data for IDP and format the results for analytical purposes
• Collaborate with experienced modelers to build predictive models and analytic solutions using Python; apply techniques such as decision trees and clustering.

• Under supervision use AI technologies such as natural language processing to extract business data from unstructured and semi-structured sources (e.g., loss history reports, insurance applications, claim files, application scraping using OCR/ generative AI, etc.).
• Create technical documentation to archive end-to-end processes.

The finance analyst is responsible for organization, interpretation, analysis, scrubbing, documentation, and dissemination of complex data sets. The candidate will provide analysis, and data reconciliation for premium reporting. The candidate will provide support and be part of the Cash Management team under UK Finance.

Job Responsibilities

• Work closely with onshore Finance & Underwriting Operations department in respect of resolving unallocated cash queries.
• Support transformation projects.
• Develop process improvements as necessary.
• Execute daily finance operational activity and document management.
• Perform financial analysis, reconciliation, and generate key reports.
• Guide junior team members and perform peer reviews.

The finance analyst is responsible for organization, interpretation, analysis, scrubbing, documentation, and dissemination of complex data sets. The candidate will provide analysis, and data reconciliation for premium reporting. The candidate will provide support and be part of the Cash Management team under UK Finance.

Job Responsibilities

• Work closely with onshore Finance & Underwriting Operations department in respect of resolving unallocated cash queries.
• Support transformation projects.
• Develop process improvements as necessary.
• Execute daily finance operational activity and document management.
• Perform financial analysis, reconciliation, and generate key reports.
• Guide junior team members and perform peer reviews.

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.

Job Responsibilities

• 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 operations 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. 

Job Responsibilities

• 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 operations 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. 

Job Responsibilities

• 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