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Impulse Idea LLC

Impulse Idea LLC

Technical Expertise: Lead the development and enhancement of the Insurance Finance system using Java, Oracle, and Flutter. Provide technical guidance, design, and implement complex functionalities.Functional Knowledge: Work closely with business users and stakeholders in the finance department to understand the insurance finance processes and translate business requirements into functional specifications.Accounting Knowledge: Utilize strong knowledge of insurance finance and accounting processes, including premium accounting, claims accounting, reinsurance, taxation, and financial reporting.Solution Design & Implementation: Design and develop scalable, robust, and efficient solutions that align with business goals. Ensure adherence to industry standards and regulatory requirements.Integration: Collaborate with cross-functional teams to integrate new systems or enhancements into the existing IT infrastructure, ensuring smooth data exchange between platforms like core insurance systems and finance applications.Customization & Support: Customize the finance system to meet the unique needs of the organization and provide ongoing support and troubleshooting for the finance team.Testing & Quality Assurance: Oversee the creation of test cases, conduct functional testing, and ensure the system is robust, secure, and meets quality standards.Stakeholder Communication: Engage with business users and technical teams to provide updates, clarify requirements, and ensure a clear understanding of system changes.Documentation & Training: Develop detailed technical and functional documentation. Provide training to end users and assist in system adoption and change management.

Posted a year ago

We are seeking an experienced Senior Application Support - Techno-Functional professional with expertise in Life & Medical Insurance, Oracle databases, and analytics tools like Power BI. The ideal candidate will be responsible for ensuring the stability, performance, and continuous improvement of business applications by bridging technical and functional aspects.· Application Support & Troubleshooting: Provide Level 2/3 support for Life & Medical Insurance applications, ensuring timely issue resolution and minimal downtime.· Techno-Functional Analysis: Act as a bridge between technical and business teams, understanding business needs and translating them into technical solutions.· Database Management:Work with Oracle databases, write SQL queries, and optimize performance for business applications.· Reporting & Analytics: Utilize Power BIto develop dashboards, generate reports, and provide insights for business decision-making.· Incident & Problem Management: Analyze recurring issues, implement long-term solutions, and enhance system reliability.· Enhancements & Customization: Assist in system enhancements, modifications, and new feature rollouts based on user requirements.· Integration & Data Analysis: Support data integration between various applications and ensure consistency across platforms.· Stakeholder Collaboration: Work closely with business users, developers, and infrastructure teams to drive application improvements.· Documentation & Training: Maintain detailed documentation of support processes, troubleshooting steps, and application functionalities; conduct training sessions for users.

Posted a year ago

We are looking for an experienced AI Engineer with a strong background in the banking domain to join our team. This role will focus on the development, deployment, and maintenance of AI-driven solutions that address the specific challenges within the banking industry. The ideal candidate will have expertise in AI and machine learning algorithms, data processing, and a deep understanding of banking systems and operations.Key Responsibilities:Design, develop, and deploy AI models and machine learning algorithms tailored to the banking domain, including applications for fraud detection, credit scoring, risk management, and customer personalization.Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to build scalable and efficient AI solutions.Develop and optimize data pipelines to process large volumes of structured and unstructured data, ensuring smooth model training and deployment.Implement and integrate AI solutions with existing banking infrastructure and systems to enhance operational efficiency and improve customer experiences.Ensure AI models meet regulatory requirements, including data privacy and security standards, particularly in the financial sector.Continuously monitor the performance of deployed AI models, identifying areas for optimization and ensuring models are aligned with business goals.Stay up to date with the latest advancements in AI, machine learning, and banking technologies, and identify opportunities to apply new techniques to improve banking products and services.Work closely with stakeholders to understand business requirements and translate them into technical solutions using AI.Troubleshoot and resolve issues related to AI systems, including model accuracy, scalability, and performance.Document AI systems, models, and processes to ensure knowledge transfer and compliance with internal standards.

Posted a year ago

We are seeking an experienced AI Product Manager with a solid background in the banking domain to lead and manage AI-driven products and solutions. This individual will be responsible for the end-to-end lifecycle of AI products, ensuring they align with the bank’s strategic objectives, drive business value, and meet customer needs. The ideal candidate will have expertise in AI technologies, product management, and a strong understanding of the banking sector's regulatory landscape.Key Responsibilities:Lead the ideation, development, and launch of AI-based products and solutions within the banking domain.Collaborate closely with cross-functional teams, including AI engineers, data scientists, UX/UI designers, marketing, and business stakeholders, to define product vision, roadmap, and go-to-market strategies.Define and prioritize product requirements, ensuring alignment with both customer needs and business goals in the banking sector.Develop a deep understanding of customer pain points, market trends, and competitive landscape to shape the product strategy and drive innovation in AI-based solutions.Ensure that AI products are developed in compliance with relevant banking regulations, data privacy laws, and ethical standards.Oversee the end-to-end product lifecycle, from conception to launch and post-launch, including product performance analysis and continuous improvement.Monitor AI product performance, collect user feedback, and drive improvements based on data-driven insights and business priorities.Act as the main point of contact for AI product initiatives within the bank, ensuring alignment and clear communication across all departments.Collaborate with marketing and sales teams to create effective product positioning, messaging, and customer outreach strategies.Work closely with risk, compliance, and legal teams to ensure that AI products meet regulatory requirements in areas such as data security, fairness, and transparency.Drive adoption and usage of AI products, ensuring they deliver measurable value to the bank and its customers.

Posted a year ago

We are looking for an experienced MLOps Engineer with a strong background in the banking domain to join our team. This role involves working with data scientists, software engineers, and business analysts to deploy, monitor, and scale machine learning models in production, with a focus on highly regulated banking environments.Develop and implement automated pipelines for deploying machine learning models into production.Work on containerization and orchestration of models using Docker, Kubernetes, and other relevant tools.Ensure continuous integration and continuous deployment (CI/CD) of machine learning models.Collaborate with data scientists to take models from development into production, optimizing for real-time performance.Set up monitoring and logging systems to track model performance and ensure proper functionality in production.Continuously evaluate model performance and retrain models when necessary based on financial trends and business needs.Manage cloud infrastructure (AWS, GCP, Azure) to deploy, monitor, and scale ML models.Ensure the security, performance, and compliance of deployed ML models in alignment with banking regulations.Implement data privacy measures and ensure secure handling of sensitive customer data during the ML model lifecycle.Optimize machine learning algorithms for high-volume, low-latency financial transactions.Maintain documentation of MLOps processes, workflows, and model performance.Create detailed reports and dashboards to track model accuracy and performance metrics.

Posted a year ago

Posted a year ago