We are seeking an experienced Core Banking Specialist with deep expertise in Islamic Banking systems to join our dynamic team. The ideal candidate will bring a solid understanding of Shariah-compliant banking principles, demonstrate strong customer orientation, and drive results through innovative and technology-forward approaches. This role requires collaboration across multiple business and technology teams to deliver high-quality solutions that meet customer and business needs. Key Responsibilities Customer Focus Engage proactively with internal and external customers to understand their needs, challenges, and goals. Identify opportunities to enhance customer value through system enhancements and service improvements. Build and deliver solutions that meet or exceed customer expectations. Maintain and strengthen long-term customer relationships by ensuring high-quality support and communication. Technology Savviness Stay abreast of emerging technologies, tools, and practices relevant to core banking and Islamic financial services. Embrace and promote the adoption of new technologies and ways of working across teams. Act as a change champion, helping others adapt to new digital tools and systems through guidance and training. Continuously develop personal technical skills through professional networks, research, and training programs. Innovation Generate creative solutions that align with business goals and customer expectations. Propose and implement innovative approaches to improve processes and solve complex problems. Cultivate a culture of experimentation and calculated risk-taking to foster continuous improvement. Promote diverse perspectives and creative thinking within teams to drive product and service innovation. Result Orientation Demonstrate a strong commitment to achieving business results and customer satisfaction. Persistently drive tasks and projects to completion despite challenges. Maintain high standards of quality and accountability, ensuring deliverables exceed expectations. Inspire and influence others to perform at their best and deliver value consistently. Required Experience and Skills 7 to 15 years of hands-on experience working with Core Banking Systems , preferably with a focus on Islamic Banking solutions . In-depth domain knowledge of Shariah law and its application in Islamic financial products and services. Proven track record of managing customer relationships and aligning technical solutions with customer expectations. Strong understanding of CBS modules including retail, corporate, deposits, lending, trade finance, treasury, and compliance. Experience working with diverse stakeholders across different geographies and functions , facilitating seamless coordination and project delivery. Excellent analytical, problem-solving, and communication skills with the ability to work across business and technology functions. Ability to work in a fast-paced environment with minimal supervision and adapt to evolving business needs. Preferred Qualifications Bachelor's or Masters degree in Information Technology, Finance, or related discipline. Certifications in Core Banking Systems or Islamic Banking principles are a plus. Exposure to regulatory environments and digital banking transformations.
Key Responsibilities 1. Infrastructure Management Maintain and administer Linux and AIX environments to ensure high availability, security, and optimal performance across the infrastructure. 2. Database Administration Install, configure, manage, and troubleshoot DB2 or Oracle databases. Handle routine maintenance tasks such as performance optimization, backup, and recovery procedures. 3. Application Server Support Support and maintain application servers such as WebSphere Application Server (WAS) or JBoss. Ensure uptime, scalability, and performance through proactive monitoring and configuration management. 4. Performance Optimization Analyze and resolve performance issues across systems, databases, and application servers to ensure seamless operations and optimal resource utilization. 5. Security & Compliance Implement and enforce security best practices. Manage system patches and updates while ensuring adherence to organizational and industry compliance standards. 6. Monitoring & Incident Management Deploy and manage monitoring tools to proactively detect and resolve system issues. Respond promptly to incidents and take corrective actions to minimize downtime. 7. Documentation Develop and maintain clear, comprehensive documentation for systems, including standard operating procedures (SOPs), architecture diagrams, and configuration details. 8. Cross-Functional Collaboration Partner with developers, network engineers, and IT support teams to coordinate deployments, resolve issues, and support integrated systems operations. 9. Project Participation Contribute to infrastructure and systems projects by offering technical expertise, assisting with planning, executing tasks, and supporting post-implementation efforts. Qualifications Bachelors degree in Computer Science, Information Technology, or a related field; or equivalent work experience. Demonstrated experience managing Linux and AIX environments. Proficiency in administering either DB2 or Oracle databases. Hands-on experience with WebSphere Application Server (WAS), JBoss, or similar application servers. Solid understanding of networking, storage systems, and virtualization technologies. Familiarity with cloud platforms such as AWS or Azure is a plus. Strong analytical and problem-solving skills, with the ability to work effectively under pressure. Excellent communication and collaboration abilities.
We are seeking a passionate and skilled Agentic AI Developer with 2 to 5 years of experience in developing intelligent, autonomous systems using modern AI/ML technologies. In this role, you will design and deploy AI agents that demonstrate reasoning, adaptability, and goal-directed behaviorinteracting proactively with tools, APIs, and digital environments. Key Responsibilities Design, build, and deploy agentic AI systems capable of autonomous, goal-oriented decision-making. Develop AI agents using LLMs, reinforcement learning, memory modules, and multi-agent system architectures. Integrate AI models with external tools, APIs, databases, and software systems to facilitate real-world interactions. Collaborate with cross-functional teams including product managers and data scientists to convert business requirements into intelligent AI solutions. Implement memory and feedback mechanisms to create adaptive, context-aware agent behavior. Optimize performance, scalability, and reliability of AI systems in production environments. Required Skills & Qualifications 2 - 5 years of hands-on experience in AI/ML development and deployment. Proficiency in Python and relevant AI/ML libraries (e.g., LangChain, Hugging Face Transformers, TensorFlow, PyTorch, OpenAI APIs). Strong understanding of agentic AI concepts, including autonomous agents, memory, planning, and decision-making. Familiarity with LLM agent frameworks such as LangChain, AutoGPT, CrewAI, or OpenAgents. Experience with RESTful APIs, microservices architecture, and system integrations. Excellent problem-solving and analytical skills with the ability to think independently. Education Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline. Preferred (Good to Have) Experience in fintech or enterprise-grade AI solutions. Familiarity with cloud platforms such as AWS, GCP, or Azure. Knowledge of agent simulation environments or multi-agent reinforcement learning (MARL).
We are looking for an experienced and visionary Senior Data Scientist / Lead to join our data science team and drive innovation in the banking and fintech space. This role demands a strategic thinker with a strong technical foundation, leadership skills, and deep domain expertise to build scalable AI/ML solutions that influence core business decisions. Key Responsibilities: Design, develop, and implement machine learning models and statistical algorithms to address complex business challenges in banking and fintech. Analyze large and diverse datasets to derive actionable insights and enable data-driven decision-making across functions. Lead, mentor, and guide a team of junior data scientists and analysts, fostering a collaborative and high-performance culture. Collaborate closely with product managers, engineers, and business stakeholders to translate business needs into robust data science solutions. Build and maintain scalable data pipelines , model training workflows, and automated deployment systems. Stay abreast of the latest trends and advancements in AI/ML, and identify opportunities to enhance model accuracy, efficiency, and scalability . Ensure model governance, interpretability, and compliance with data privacy and regulatory standards. Required Qualifications: 8 to 15 years of proven experience in data science, machine learning , or advanced analytics roles. Strong domain knowledge and practical experience in banking, financial services, or fintech is highly preferred. Proficient in Python (pandas, NumPy, scikit-learn, etc.) and/or R for statistical analysis and machine learning. Deep understanding of predictive modeling , classification , clustering , regression , time-series forecasting , and optimization techniques . Hands-on experience with SQL and working with large-scale datasets . Familiarity with cloud platforms such as AWS, GCP, or Azure is a strong advantage. Excellent analytical thinking , problem-solving , and communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications: Masters or PhD in Computer Science, Statistics, Mathematics, Data Science, or a related field. Experience with tools like TensorFlow, PyTorch, Spark, or MLflow. Exposure to model monitoring, drift detection, and MLOps best practices.