Job Title: Compliance Executive Department: Compliance Location: Vadodara Key Responsibilities Ensure compliance with all SEBI, stock exchange, and client regulatory requirements. Handle SEBI and Exchange inspections and coordinate audit responses. Liaise with internal departments and associates to ensure timely submission of data and reports as per SEBI/Exchange deadlines. Stay updated with the latest amendments and regulatory changes issued by SEBI and Exchanges. Collaborate with internal auditors to review and address audit observations and ensure implementation of recommendations. Qualifications Minimum Graduate in any discipline NISM Certification (including NISM Compliance module) is mandatory Experience Minimum 3 years of relevant experience in compliance within the financial services or securities industry Qualification : Graduate in any discipline

Job Title: Head - Business Intelligence & AI Location: Vadodara Department: IT Services Employee Type: Permanent Experience Required: 8 12 Years Reporting To: Chief Information Officer Position Overview: We are looking for an experienced and visionary Head of Business Intelligence & AI to lead our data strategy, build scalable data models, and drive AI and analytics innovation throughout the organization. This senior leadership role blends deep technical expertise in data architecture, AI/ML, ETL, dashboarding, and emerging AI technologies such as Generative AI (GenAI) and Agentic AI with the ability to align data-driven initiatives with business goals. In this role, you will spearhead data and AI transformation across multiple functions R&D, production, supply chain, sales, marketing, finance, HR, and compliance leveraging analytics, predictive modeling, and advanced AI tools to enable informed decision-making and operational excellence. Key Responsibilities: 1. Data Strategy & Leadership Define and execute enterprise-wide BI and analytics strategies aligned with business objectives and digital transformation goals. Develop a comprehensive AI and analytics roadmap to improve operational efficiency and business outcomes. Lead design and maintenance of a centralized, secure, and scalable data lake supporting cross-functional BI and AI initiatives. 2. AI & Analytics Enablement Identify impactful AI use cases across functions (e.g., predictive maintenance, market demand forecasting, pricing optimization). Apply BI and AI techniques to monitor KPIs, optimize processes, and enhance employee training programs. Lead advanced analytics, AI/ML initiatives, and scenario planning efforts. 3. Stakeholder Engagement & Communication Collaborate with executive leadership, department heads, and IT teams to translate business questions into actionable data insights and dashboards. Provide strategic AI and analytics insights to C-suite executives to foster a data-driven culture. 4. Team Leadership & Development Lead, mentor, and grow a high-performing AI and analytics team. Promote innovation and best practices in data science, AI, and business analytics. 5. AI & GenAI Initiatives Lead the adoption and deployment of AI/ML, including large language models (LLMs), Retrieval-Augmented Generation (RAG), and other GenAI technologies. Identify new data science opportunities to create business value across the organization. 6. Data Governance & Quality Ensure data governance, security, and quality management practices are implemented and maintained to uphold data integrity and compliance. Education & Experience: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or related field. PhD is a plus. 10+ years of experience in analytics, data architecture, or related leadership roles. Strong knowledge of data modeling techniques and modern data architecture. Experience with SQL, Python, R, and at least one cloud platform (AWS, GCP, Azure). Hands-on experience with modern data warehousing (Snowflake, BigQuery, Redshift) and orchestration tools (Airflow, DBT). Technical Competencies: Expertise in analytics tools such as Tableau, Power BI, and integration with enterprise systems. Deep understanding of manufacturing processes and best practices. Proven track record of implementing scalable enterprise analytics and predictive modeling solutions. Proficient with AI/ML techniques, including GenAI, LLMs, and emerging data science technologies. Experience managing data lakes, end-to-end data pipelines, and cloud-based data platforms. Behavioral Competencies: Strong leadership and team management skills. Excellent communication skills, capable of engaging both technical and non-technical audiences. Proactive problem solver with high initiative. Ability to manage multiple priorities and work effectively under pressure. Strong analytical mindset with the ability to make data-driven decisions. Note: The responsibilities and requirements listed above are indicative and may evolve to meet the dynamic needs of the business. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related field. PhD is a plus

SharePoint Developer NO OF OPENINGS: 1 YEARS OF EXPERIENCE: 3+ years JOB DESCRIPTION: We are seeking a skilled SharePoint Developer to design, develop, and maintain SharePoint solutions tailored to organizational needs. The ideal candidate will have expertise in SharePoint Online, SharePoint Server, and Office 365 integrations, ensuring efficient collaboration and seamless workflows within the organization. ROLES & RESPONSIBILITIES: Development and Customization: Build custom SharePoint solutions, workflows, and web parts using client-side and server-side technologies. Develop and maintain SharePoint forms, lists, libraries, and other components. Customize SharePoint sites to enhance user experience and meet business requirements. Integration: Integrate SharePoint with third-party applications and enterprise systems. Implement Office 365 services such as Power Automate, Power Apps, Outlook synchronization, and Teams. Support and Maintenance: Troubleshoot and resolve SharePoint-related issues. Manage SharePoint permissions, user groups, and access control. Monitor and ensure optimal performance of SharePoint environments. Documentation and Training: Prepare technical documentation and user manuals for SharePoint solutions. Train users on SharePoint functionalities and best practices. SKILLS SET & QUALIFICATION: Proficiency in SharePoint Online, SharePoint 2013/2016/2019, and Office 365. Experience with development tools like PowerShell, SPFx (SharePoint Framework), and REST API. Hands-on experience with HTML5, CSS, JavaScript, and jQuery for SharePoint customization. Knowledge of C#.NET or ASP.NET for server-side development. Familiarity with workflow tools like Power Automate, Nintex, and InfoPath. Understanding of SharePoint permissions, taxonomy, and metadata management. Excellent problem-solving skills and ability to work independently. Data Visualization : Power BI Experience in database management with SQL Server. Exposure to Azure services and cloud-hosted SharePoint solutions. Microsoft Certification in SharePoint or Office 365. Bachelor s degree in Computer Science, Information Technology, or a related field. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Job Summary The Lead Data Scientist will be responsible for driving data science initiatives and leading a team of data scientists to develop innovative solutions using Artificial Intelligence, Generative AI, and Machine Learning. This role requires a strong background in Python and Large Language Models (LLM) to enhance data-driven decision-making across the organization. Duties and Responsibilities Lead the design and implementation of data science projects from conception to deployment. Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions. Mentor and guide junior data scientists in best practices and methodologies. Develop and maintain machine learning models and algorithms to solve complex business problems. Stay updated with the latest advancements in AI and machine learning technologies. Communicate findings and insights to stakeholders through presentations and reports. Qualifications and Requirements Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. 5-7 years of experience in data science or a related field. Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn). Strong understanding of machine learning algorithms and techniques. Experience with Large Language Models (LLM) and Generative AI. Excellent problem-solving skills and ability to work in a fast-paced environment. Key Competencies Strong analytical and critical thinking skills. Effective communication and presentation skills. Ability to work collaboratively in a team-oriented environment. Adaptability and willingness to learn new technologies. Project management skills to oversee multiple projects simultaneously. Performance Expectations Deliver high-quality data science solutions within project timelines. Demonstrate leadership by fostering a collaborative team environment. Achieve measurable improvements in business outcomes through data-driven insights. Continuously enhance technical skills and knowledge in the field of data science. Qualification : Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.