Required Technical Skill Set** As a Senior Business Analyst\Data Analyst, you will be responsible for performing business requirement gathering for several systems and business processes in the APAC region. You will be working directly with various business groups and IT teams within Chubb to ensure appropriate solutions are put in place to support the requirements of both internal and external users. The Senior Business Analyst will be involved from initial scoping, discovery, and documentation of requirements right through to post implementation and continuous improvements.
Must-Have** · 7-10 years of industry experience in Business Analysis & Data Analysis · Experience of at least 3-5 years in Datawarehouse/data management projects, preferably experience with Insurance Domain · Hands on experience with Business Analysis, requirement gathering, business interactions · Hands on experience with Data Analysis, Data Mapping, data transformation, data validation · Hands on Experience in SQL and manipulating large data sets in a database is a must · Must have worked on at least 10 source systems data analysis at field level · Experience in ETL will be an added advantage · Eager to learn new technologies and analytical methodologies relating to business Intelligence and data analysis · Strong communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses and actionable insight · Passionate about data and analyzing business needs and experience with Insurance Domain · Excellent verbal and nonverbal communication skills
Responsibilities
Required Technical Skill Set** As a Senior Business Analyst\Data Analyst, you will be responsible for performing business requirement gathering for several systems and business processes in the APAC region. You will be working directly with various business groups and IT teams within Chubb to ensure appropriate solutions are put in place to support the requirements of both internal and external users. The Senior Business Analyst will be involved from initial scoping, discovery, and documentation of requirements right through to post implementation and continuous improvements.
Must-Have** · 7-10 years of industry experience in Business Analysis & Data Analysis · Experience of at least 3-5 years in Datawarehouse/data management projects, preferably experience with Insurance Domain · Hands on experience with Business Analysis, requirement gathering, business interactions · Hands on experience with Data Analysis, Data Mapping, data transformation, data validation · Hands on Experience in SQL and manipulating large data sets in a database is a must · Must have worked on at least 10 source systems data analysis at field level · Experience in ETL will be an added advantage · Eager to learn new technologies and analytical methodologies relating to business Intelligence and data analysis · Strong communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses and actionable insight · Passionate about data and analyzing business needs and experience with Insurance Domain · Excellent verbal and nonverbal communication skills
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Relevant Experience Range in Required Skills: 5 to 10 Years
Job Description: Data Modeller
Required Technical: Skill Set Strong experience in semantic data modeling, knowledge graphs, and AI-driven data platforms to design and lead the implementation of an enterprise knowledge graph architecture supporting AI-enabled underwriting use cases. The role will focus on designing scalable semantic data models, integrating enterprise data with knowledge graphs, and enabling AI-driven insights using Graph RAG and vector search capabilities.
Desired Competencies (Technical/Behavioral Competency)
Must-Have · JSON-LD and semantic standards · Knowledge Graph modelling — Neo4j (Cypher) and/or Azure Cosmos DB (Gremlin) · Vector database concepts — Pinecone, Weaviate, Chroma, FAISS · Graph RAG architecture and embedding model integration
Good-to-Have · Insurance domain knowledge (underwriting, risk, policy lifecycle) · LangChain / LlamaIndex / Azure OpenAI Service exposure
Responsibility of / Expectations from the Role
1 Design and implement knowledge graph data models using JSON-LD, and ontology frameworks
2 Build and maintain graph schemas on Neo4j and Azure Cosmos DB (Gremlin API)
3 Model the underwriting value chain — from account creation, data enrichment, risk assessment, technical rating, through to policy issuance
4 Enable semantic search and similarity matching for underwriting submissions
5 Collaborate with AI/ML teams on Graph RAG pipelines, embedding models, and LLM integrations (GPT-4, Claude, Cohere)
6 Design vector database schemas on Pinecone, Weaviate, Chroma, or FAISS
7 Ensure full data lineage, enrichment traceability, and audit-ready data structures
Responsibilities
Relevant Experience Range in Required Skills: 5 to 10 Years
Job Description: Data Modeller
Required Technical: Skill Set Strong experience in semantic data modeling, knowledge graphs, and AI-driven data platforms to design and lead the implementation of an enterprise knowledge graph architecture supporting AI-enabled underwriting use cases. The role will focus on designing scalable semantic data models, integrating enterprise data with knowledge graphs, and enabling AI-driven insights using Graph RAG and vector search capabilities.
Desired Competencies (Technical/Behavioral Competency)
Must-Have · JSON-LD and semantic standards · Knowledge Graph modelling — Neo4j (Cypher) and/or Azure Cosmos DB (Gremlin) · Vector database concepts — Pinecone, Weaviate, Chroma, FAISS · Graph RAG architecture and embedding model integration
Good-to-Have · Insurance domain knowledge (underwriting, risk, policy lifecycle) · LangChain / LlamaIndex / Azure OpenAI Service exposure
Responsibility of / Expectations from the Role
1 Design and implement knowledge graph data models using JSON-LD, and ontology frameworks
2 Build and maintain graph schemas on Neo4j and Azure Cosmos DB (Gremlin API)
3 Model the underwriting value chain — from account creation, data enrichment, risk assessment, technical rating, through to policy issuance
4 Enable semantic search and similarity matching for underwriting submissions
5 Collaborate with AI/ML teams on Graph RAG pipelines, embedding models, and LLM integrations (GPT-4, Claude, Cohere)
6 Design vector database schemas on Pinecone, Weaviate, Chroma, or FAISS
7 Ensure full data lineage, enrichment traceability, and audit-ready data structures
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Java Technical Lead
Skills Required: Digital: Artificial Intelligence (AI)~Advanced Java Concepts
Relevant Experience Range in Required Skills: 8 to 10 Years
Job Description:
Java Technical Lead
1. 8-10 years of software development experience with a strong focus on Java.
2. Technical Leadership – Drive code quality, enforce security standards, mentor the development team, and ensure delivery aligned with business objectives
3. Strong knowledge and extensive experience in Spring Framework, Spring Boot, and cloud services such as Azure or AWS.
4. Highly proficient in Hibernate, JPA, RDMS such as Oracle, and NoSQL (MongoDB) databases.
5. Experience with messaging systems (Kafka or RabbitMQ).
6. Good to have experience with integration frameworks such as Apache Camel.
7. Containerization & Deployment – Implement and manage modern deployment practices using Docker and Kubernetes for containerization and orchestration
8. Strong understanding and extensive hands-on experience with Micro Services Architecture and best practices.
9. Extensive hands-on experience with Junit, Mockito, Cucumber frameworks.
10. Knowledge of observability tools (Prometheus, Grafana, ELK, Open Telemetry).
11. Excellent knowledge of AI – Use of AI tools like Claude/Co-pilot. And familiar with AI SDLC.
Key Responsibilities
· Design and develop scalable Java-based architectures and solutions.
· Lead and mentor development teams throughout the project lifecycle
· Collaborate with stakeholders to gather and analyse requirements.
· Define technical standards, guidelines, and best practices.
· Conduct code reviews and ensure adherence to quality standards.
· Evaluate and recommend tools, frameworks, and emerging technologies.
· Identify and mitigate technical risks and issues.
· Optimize application performance, scalability, and security.
· Ensure compliance with security and regulatory requirements.
· Document architectural decisions and system designs.
· Support deployment and integration of new solutions.
· Stay updated with emerging technologies and industry trends.
Responsibilities
Skills Required: Digital: Artificial Intelligence (AI)~Advanced Java Concepts
Relevant Experience Range in Required Skills: 8 to 10 Years
Job Description:
Java Technical Lead
1. 8-10 years of software development experience with a strong focus on Java.
2. Technical Leadership – Drive code quality, enforce security standards, mentor the development team, and ensure delivery aligned with business objectives
3. Strong knowledge and extensive experience in Spring Framework, Spring Boot, and cloud services such as Azure or AWS.
4. Highly proficient in Hibernate, JPA, RDMS such as Oracle, and NoSQL (MongoDB) databases.
5. Experience with messaging systems (Kafka or RabbitMQ).
6. Good to have experience with integration frameworks such as Apache Camel.
7. Containerization & Deployment – Implement and manage modern deployment practices using Docker and Kubernetes for containerization and orchestration
8. Strong understanding and extensive hands-on experience with Micro Services Architecture and best practices.
9. Extensive hands-on experience with Junit, Mockito, Cucumber frameworks.
10. Knowledge of observability tools (Prometheus, Grafana, ELK, Open Telemetry).
11. Excellent knowledge of AI – Use of AI tools like Claude/Co-pilot. And familiar with AI SDLC.
Key Responsibilities
· Design and develop scalable Java-based architectures and solutions.
· Lead and mentor development teams throughout the project lifecycle
· Collaborate with stakeholders to gather and analyse requirements.
· Define technical standards, guidelines, and best practices.
· Conduct code reviews and ensure adherence to quality standards.
· Evaluate and recommend tools, frameworks, and emerging technologies.
· Identify and mitigate technical risks and issues.
· Optimize application performance, scalability, and security.
· Ensure compliance with security and regulatory requirements.
· Document architectural decisions and system designs.
· Support deployment and integration of new solutions.
· Stay updated with emerging technologies and industry trends.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The role involves overall UI design of real-time Fixed Income trading applications, ensuring alignment with business requirements. Key responsibilities include modifying existing designs and resolving technical issues through collaboration with various teams. Candidates should have extensive experience in the .NET platform, particularly with desktop application technologies, and proficiency in multi-threaded application development. Familiarity with development tools and unit testing is essential, while experience with C# Reactive Extensions is a plus.
Responsibilities
The role involves overall UI design of real-time Fixed Income trading applications, ensuring alignment with business requirements. Key responsibilities include modifying existing designs and resolving technical issues through collaboration with various teams. Candidates should have extensive experience in the .NET platform, particularly with desktop application technologies, and proficiency in multi-threaded application development. Familiarity with development tools and unit testing is essential, while experience with C# Reactive Extensions is a plus.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The Automation Tester role requires demonstrated expertise in API automation testing using frameworks such as Rest Assured or Karate, along with strong programming proficiency in Java and JavaScript. Candidates should have a solid understanding of SQL and database concepts, and hands-on experience with CI/CD pipelines and test management tools. Good-to-have skills include exposure to UI automation frameworks and familiarity with Agile methodologies.
Responsibilities
The Automation Tester role requires demonstrated expertise in API automation testing using frameworks such as Rest Assured or Karate, along with strong programming proficiency in Java and JavaScript. Candidates should have a solid understanding of SQL and database concepts, and hands-on experience with CI/CD pipelines and test management tools. Good-to-have skills include exposure to UI automation frameworks and familiarity with Agile methodologies.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Summary
We are looking for a skilled Azure DevOps Engineer with hands-on experience in building and managing CI/CD pipelines, cloud infrastructure, automation, and deployment processes in Microsoft Azure environments. The ideal candidate should have strong expertise in DevOps practices, Infrastructure as Code (IaC), containerization, and cloud-native technologies.
Key Responsibilities
Design, implement, and maintain CI/CD pipelines using Azure DevOps.
Automate build, deployment, and release management processes.
Manage and monitor Azure cloud infrastructure and services.
Implement Infrastructure as Code (IaC) using Terraform, ARM templates, or Bicep.
Work with containerization and orchestration tools like Docker and Kubernetes/AKS.
Collaborate with development, QA, and operations teams for smooth deployments.
Configure monitoring, logging, and alerting solutions.
Ensure system security, scalability, and high availability.
Troubleshoot deployment and infrastructure issues.
Maintain version control repositories and branching strategies using Git.
Responsibilities
Job Summary
We are looking for a skilled Azure DevOps Engineer with hands-on experience in building and managing CI/CD pipelines, cloud infrastructure, automation, and deployment processes in Microsoft Azure environments. The ideal candidate should have strong expertise in DevOps practices, Infrastructure as Code (IaC), containerization, and cloud-native technologies.
Key Responsibilities
Design, implement, and maintain CI/CD pipelines using Azure DevOps.
Automate build, deployment, and release management processes.
Manage and monitor Azure cloud infrastructure and services.
Implement Infrastructure as Code (IaC) using Terraform, ARM templates, or Bicep.
Work with containerization and orchestration tools like Docker and Kubernetes/AKS.
Collaborate with development, QA, and operations teams for smooth deployments.
Configure monitoring, logging, and alerting solutions.
Ensure system security, scalability, and high availability.
Troubleshoot deployment and infrastructure issues.
Maintain version control repositories and branching strategies using Git.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
