Enter and review underwriting submissions and endorsements in the Impact system, ensuring accuracy and KPI compliance. Attend exposure management meetings, conduct risk research, and coordinate with Claims, Administration, and Underwriting Management. Support smooth departmental operations and complete additional duties assigned by management.
Job Summary
IGI - International General Insurance Co. Ltd. is a leading international specialist commercial insurer and reinsurer with a global portfolio of Energy, Property, Construction & Engineering, Ports & Terminals, Marine, Financial Institutions, General Aviation, Professional Indemnity, Casualty, Directors’ and Officers’, Legal Expenses, Political Violence, Contingency and Treaty Reinsurance. Registered in Bermuda as a limited liability company, with operational headquarters in Amman, Jordan and offices in London, Malta, Bermuda, Norway, Dubai, Kuala Lumpur and Casablanca, we aim to deliver outstanding levels of service to our clients and brokers.Job Description
Duties and Responsibilities
To enter all underwriting submissions/endorsements that are received to Impact system, undertaking relevant analysis and review to ensure accuracy at all times. In line with KPI requirements.
To ensure attendance at Exposure Management meetings when scheduled.
Additional risk research as required.
To liaise with all internal departments including Claims, Admin and Underwriting Management ensuring smooth operation at all times.
To carry out any additional duties set by respective line manager or senior management as and when required.
Job Specifications
Bachelor’s degree, preference to Risk Management & Insurance, Business Administration, Actuarial Science
0-1 years (re)insurance experience preferred.
Fluent in English, both written and oral
Excellent PC skills, including Microsoft office.
Similar Jobs
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Supports enterprise data architecture, information management, and governance initiatives. Responsibilities include developing conceptual data models, defining Information Objects, maintaining enterprise data glossaries, analyzing requirements and dependencies, and applying DCAM principles to improve data quality, governance, operations, and control environments. Collaborates with architects, governance teams, technology groups, and business stakeholders to establish consistent terminology, documentation, ownership, and enterprise data standards.
Top Skills:
Dcam FrameworkServicenow Enterprise Architecture
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Design, build, and optimize Snowflake-based data platforms and ELT/ETL pipelines for financial-services clients. The role involves data modeling, governance, performance and cost optimization, cloud engineering, stakeholder collaboration, solution design, technical leadership, mentoring, and client engagement. Candidates need strong Snowflake expertise, modern data engineering skills, consulting ability, and experience leading technical workstreams in Agile environments.
Top Skills:
AgileApache AirflowApache IcebergApache KafkaAWSCi/CdDbtDevOpsDynamic TablesGoogle Cloud PlatformInfrastructure As CodeAzurePythonSnowflakeSnowparkSnowpipeSQLStreams And Tasks
Information Technology • Mobile
Designs and maintains ETL pipelines, data models, dashboards, and analytics processes for large datasets. Develops statistical models, complex metrics, and data products; analyzes trends and relationships; and communicates insights through visualizations. Builds, deploys, monitors, and maintains machine learning and GenAI pipelines. Ensures data governance, quality, privacy, security, documentation, and performance across data architecture and management systems.
Top Skills:
Apache AirflowSparkData LakehouseData ModelingData WarehousingGenaiHadoopLinuxLlmsPandasPower BIPythonScalaScikit-LearnSQL
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
