Total 7 job vacancies by Arch Global Services (Philippines) Inc.

The Premium Audit Analyst is responsible for collection, organization, interpretation, processing, scrubbing, documentation and dissemination of complex data sets. The candidate will process and normalize the data to ensure data integrity and will create views and reports. The candidate will provide support and be part of the US Premium Audit team. 

Responsibilities:

The Premium Data Analyst is responsible for the following:  

Audit Packet Prep Duties:   

• Preparing and sending out Audit request letters to our insureds via email using Excel, Word and Outlook.  

• Conducting all subsequent follow-ups to the insured to obtain the records in a timely manner.   

• Answering all inquiries from the insured’s contact (with auditor guidance) and entering all progress notes in Nexus for each policy on the account, keeping all parties informed 

• Reviewing all partial records received to determine which records are missing and what needs to be requested 

• Preparation of final audit record packet and forward to auditor 

Quality review of Auditor Worksheets 

• Review and compare auditor worksheets to adherence of manual and processing rules established by standardized work processes 

• Reading all information within the audit papers to determine accuracy of data 

• Checking audit reported data against the policy data for accuracy 

• Clearly communicate any discrepancies back to the auditors for corrections 

• Follow-up sent to auditors for corrections in a timely manner, as needed  

Arch investment Management Ltd. (AIML), based in Bermuda, is a wholly owned subsidiary of Arch Capital Group Ltd., a leading insurance and reinsurance company. Arch Capital has investable assets of over $45 bn. Arch Investment Management manages Arch Capital and its subsidiaries' portfolios.  The continued growth of the company has created the need to fill a new position within our Risk and Quantitative team to help building AIM’s in house AMI web interface.

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

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 Data Engineer will implement complex databases and data pipelines that put analytics at the heart of real-time decision-making. They will work closely with leaders across the company on high-profile analytics projects that drive business strategies. They provide technical guidance and ensure the use of sound engineering practices and effective use of resources.  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.  

Responsibilities:

• Work with strategic partners to solve business problems by developing best-in-class data solutions  
• Perform data manipulation using SQL and Python to develop data assets 
• Leverage technology to automate data ingestion, transformation and integration 
• Provide the appropriate level of documentation of sources and technical solutions 
• Evaluate data quality and completeness 
• Build strong partnerships with peers across the organization to support data-related goals  
• Explore new technologies and data sources with curiosity and creativity 
• 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 

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.  

Job Responsibilities:

• Interpret data, analyze results and process transactions in various systems in support of the following areas: 

• Submission Clearance 

• Policy & Endorsement rating and Issuance 

• Compliance  

• Auto  

• 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 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 rating and Issuance 

• Compliance  

• Auto  

• 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 

Large Account Operations is responsible for supporting the Underwriting Operations group by performing quality assurance activities to include process optimization, evaluation and implementing automation, visualization, and data solutions in support of the QA program. In addition, the QA Analyst will be a critical individual to gather and preempt requirements from stakeholders and be responsible for designing the appropriate mechanisms and will work closely with the stakeholders and team leadership

Responsibilities:

• As a QA Analyst you will be providing quality assurance, training, best practices, and solutions that enable process efficiency, automation, and data driven decisions.
• Hands-on in the design and execution of the quality program to include endorsements and policies for associated Business Units and Lines of Business.
• Design and implement complex PowerBI data visualizations
• Support implemented solutions by conducting root cause analysis on issues and corrective actions.
• Document and analyze quality findings and report out on findings in a clear way to managers and stakeholders. 
• Provides guidance to stakeholders on devising effective and efficient approaches to achieve project and program objectives.
• Supports business units in the resolution of in-depth user questions and issues.
• Ability to optimize and streamline the QA Program

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. 

• 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