2 Testing Capabilities Jobs

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional capability and product knowledge. The FSO practice offers integrated consulting services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers, insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Consulting include risk management, regulatory consulting, quantitative consulting, technology enablement, and process & controls. Within EY's Business Consulting Practice, the Financial Services Risk Management (FSRM) group provides solutions to help FSO clients identify, measure, manage, and monitor market, credit, liquidity, operational, and regulatory risks associated with their capital markets activities. The Business Solutions team within FSRM assists in various aspects of Capital management, credit risk, liquidity & treasury, and ICAAP related activities. Key Responsibilities: - Exposure to gap assessments, impact analysis, and business readiness assessments for regulatory change management - Demonstrate deep technical capabilities and industry knowledge of financial products - Lead components of client engagements, ensuring quality services are consistently delivered - Review work products to maintain high quality standards - Stay updated with market trends in the financial services sector to address client issues effectively - Monitor progress, manage risks, and communicate effectively with stakeholders - Mentor junior consultants within the organization Qualifications, Certifications And Education: Must-have: - Masters degree in business administration (finance, economics) with 8-12 years of relevant work experience - Experience in regulatory reporting in Banks (Fr2052a/LCR/NSFR etc.) - Experience in Treasury & ALM department in Banks - QRM or equivalent solution working and modelling knowledge - Treasury and/or Liquidity Risk / Operations experience in BFSI - IRRBB risk understanding, modelling & reporting capabilities - Understanding of Banks Balance Sheet and various products - Knowledge of interest rate structures, FTP methodologies, and regulatory stress testing - Business analysis skills, data analysis proficiency, and IT architecture knowledge - Strong problem-solving skills and Risk Management knowledge - Excellent communication skills Good-to-have: - Certifications such as FRM, CFA - Risk management system knowledge/experience - Willingness to travel to meet client needs - Previous project management experience EY exists to build a better working world, helping create long-term value for clients, people, and society while building trust in the capital markets. With diverse teams in over 150 countries, EY provides assurance and helps clients grow, transform, and operate across various domains.,

Dozen Diamonds (DD) is dedicated to empowering stock brokers and retail investors through the Stressless Trading Method. DD conducts webinars to keep retail investors informed and offers exclusive opportunities for stress-free wealth creation. The company's objective is to assist individuals in implementing the stressless trading method, generating consistent cash flow, recovering losses, and building confidence in their trading. With offices in Nagpur (India) and Atlanta (US). This is a full-time hybrid position for an AI Development Engineer at Dozen Diamonds, based in Nagpur with the flexibility to work remotely when necessary. The AI Development Engineer will play a key role in research and development, software development, programming, testing, and electronics to develop and enhance AI technologies. An AI engineer working on an automated CRM (Customer Relationship Management) system would primarily focus on developing, deploying, and maintaining AI models that automate tasks, personalize customer interactions, and improve CRM efficiency. This includes tasks such as data analysis, algorithm development, model training, and integration with the CRM platform. The responsibilities of the role include: 1. **Data Analysis and Preparation:** - Data Collection: Collecting and organizing customer data from various sources (e.g., CRM, social media, email, website). - Data Preprocessing: Cleaning, transforming, and preparing data for use in AI models. - Data Exploration: Analyzing data to identify patterns, trends, and insights. 2. **AI Model Development:** - Algorithm Selection: Choosing suitable AI algorithms (e.g., machine learning, natural language processing) for specific CRM tasks. - Model Training: Training AI models on collected data to learn patterns and make predictions. - Model Tuning: Fine-tuning model parameters to optimize performance and accuracy. 3. **AI Model Deployment and Integration:** - Integration: Incorporating AI models into the CRM system to enable automation and personalization. - API Development: Creating APIs for AI models to interact with the CRM system. - Deployment: Deploying AI models to cloud or on-premise infrastructure. 4. **Continuous Monitoring and Improvement:** - Performance Monitoring: Monitoring AI model performance and identifying areas for enhancement. - Model Retraining: Periodically retraining AI models with new data to maintain accuracy. - Maintenance: Ensuring reliability and scalability of AI models. **Specific Applications within CRM:** - Lead Scoring - Personalized Recommendations - Automated Email Campaigns - Predictive Analytics - Chatbots and Virtual Assistants - Sentiment Analysis **Qualifications:** - Research and Development (R&D) skills - Software Development and Programming expertise - Testing capabilities - Knowledge of Electronics - Strong problem-solving and analytical skills - Experience in AI development and machine learning - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Excellent communication and teamwork skills,