Education Requirements

• M.B.A or Bachelor’s degree

Job Description:

We are seeking a meticulous and process-driven Commercial Lines Underwriting Operations Analyst to join our team at CogniSure. In this role, you will play a pivotal part in ensuring the efficiency and effectiveness of our underwriting operations. Your focus will be on process optimization, data analysis, and providing operational support to enhance our platform’s capabilities. If you are passionate about commercial insurance operations and process improvement, we encourage you to apply for this exciting opportunity.

Roles And Responsibilities

• Execute business processes efficiently and effectively as per agreed Service Level Agreements.
• Input data in an excel spreadsheet or any appropriate template for the task assigned.
• Ensure that turnaround time and accuracy of the work meets service standards.
• Perform feasibility analysis to identify ways to improve existing process.
• Performing audits on data quality and developing framework for improving Quality.
• Prioritize daily tasks according to detailed guidelines to meet SLA.
• Identify, research, and resolve problems.
• Ability to analyse, interpret and compile information from multiple sources.
• Collaborate with internal teams in professional manner via email and on calls.
• Handle own work in process and support team efforts to ensure that individual and team goals are met.
• Handling Team clarifications and assisting leads in Business mapping.
• Expertise in advanced Excel and macro be an added advantage.

Requirements

• Relevant US P&C Insurance experience.
• Demonstrates Good Communication Skills (Both written & verbal).
• Problem Solving and good analytical skills – should be able to foresee issues and suggest solutions, with impactful data.
• Displays enthusiasm and eagerness to learn new things.
• Ability to work under pressure and meet deadlines, while maintaining a positive attitude and providing outstanding client service.
• Flexible and adaptable to change.
• Experience in Azure Dev Ops & Scrum – Not Mandatory.

Experience

• 2 to 5 years in Insurance domain

Job Location

• Bangalore/Pune, India

Education Requirements

• B.E (Computer Science/Information Technology)
• B.Tech (Computer Science/Information Technology)
• M.C.A

Job Description:

We are looking for a highly skilled Full Stack Developer to join our dynamic team at CogniSure. As a Full Stack Developer, you will play a pivotal role in the development of our platform, contributing to both the front-end and back-end components. You will work closely with a cross-functional team of developers and data scientists to enhance our platform’s capabilities and ensure its continued success.

Roles And Responsibilities

• Full Stack Development: Collaborate with a multidisciplinary team to design, develop, and maintain our platform’s front-end and back-end components.
• Front-End Development: Create responsive, user-friendly interfaces using modern web technologies such as HTML5, CSS3, and JavaScript frameworks (e.g., React, Angular, or Vue.js).
• Back-End Development: Build robust server-side components and APIs, ensuring data integrity and system performance. Utilize technologies like Node.js, Python, or Java.
• Database Management: Design and optimize database schemas, perform data modeling, and work with both SQL and NoSQL databases.
• Integration: Collaborate with data engineers to integrate AI and machine learning models into the platform, ensuring efficient data flow and real-time processing.
• Testing and Debugging: Conduct thorough testing, debugging, and performance tuning to deliver high-quality code.
• Security: Implement security best practices to protect sensitive data and ensure platform integrity.
• Documentation: Maintain comprehensive documentation of code, APIs, and development processes.

Requirements

• Extensive experience in software development and project management.
• Solid understanding of a variety of programming tools and development platforms.
• Excellent organizational and leadership abilities.
• Highly analytical mindset, with an ability to see both the big picture and the details.
• Strong communication and presentation skills.

Experience

• 6 to 8 years

Job Location

• Bangalore, India

Education Requirements

• M.B.A or Bachelor’s degree

Job Description:

We are seeking a highly skilled and motivated AI/ML Data Engineer to join our dynamic team. As an AI/ML Data Engineer at CogniSure, you will play a critical role in designing, developing, and maintaining our data infrastructure, pipelines, and machine learning models. You will collaborate closely with data scientists, software engineers, and other cross-functional teams to ensure the seamless integration of AI and machine learning into our platform.

Roles And Responsibilities

• Data Pipeline Development: Design, implement, and maintain data pipelines for collecting, cleaning, and preprocessing large volumes of unstructured data from various sources, including documents, emails, and databases.
• Data Integration: Collaborate with data scientists and software engineers to integrate machine learning models into our platform, ensuring efficient data flow and real-time processing.
• Data Transformation: Apply data transformation techniques to convert unstructured data into structured formats suitable for machine learning and analytics.
• Data Quality Assurance: Implement data quality checks, validation processes, and anomaly detection to ensure the accuracy and reliability of data used for model training and analysis.
• Machine Learning Integration: Deploy machine learning models into production environments, optimizing performance and scalability.

Requirements

• Relevant US P&C Insurance experience.
• Proven experience as a Data Engineer, preferably in an AI/ML-focused role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong knowledge of data processing frameworks and tools (e.g., Apache Spark, Hadoop, Kafka).
• Experience with data storage and retrieval technologies (e.g., SQL, NoSQL databases).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes).
• Solid understanding of machine learning concepts and model deployment.
• Excellent problem-solving and communication skills.
• Ability to work in a fast-paced, collaborative environment.

Experience

• 7 to 10 years in Insurance domain

Job Location

• Bangalore/Pune, India