Data Scientists specializing in Advanced Analytics develop and implement sophisticated data models and data collection systems for banking supervision. They apply advanced data analytics techniques and tools to optimize statistical efficiency and quality. The role involves analyzing bank risk profiles, creating early warning systems, and providing advanced analytical solutions to support policy formulation and banking system stability.

Data Scientists specializing in Data Modelling interpret complex banking data and analyze results using statistical techniques to provide reports on banking systems. They develop risk models, implement data analytics strategies, and deliver data-driven insights to support policy formulation. The role focuses on understanding individual bank risk profiles, identifying early warning indicators, and enabling supervisory decision-making through advanced analytical approaches.

Data Analysts specializing in Micro Data Analytics develop and implement risk models based on detailed data collected from supervised banking entities. They perform comprehensive data analysis, model development, validation, and deployment. The role involves identifying compliance issues through data analysis, designing data templates for risk assessment, and providing critical insights for banking supervision and regulation.

Data Engineers-II specialize in SQL/Oracle database development and automation within the Department of Supervision. They develop SQL-based programs and scripts to automate data processing, create and manage data automation bots, optimize query performance, and provide actionable insights from data execution results. The role focuses on data infrastructure optimization and automation to enhance supervisory analytics capabilities.

Data Engineers-I are responsible for acquiring, managing, and maintaining granular data from supervised banking entities to support supervision and policy formulation. They design data acquisition processes, manage databases and analytical systems, validate data integrity, identify systemic banking issues, and prepare analytical reports. The role bridges data collection from banks and data analysis requirements for supervisory decision-making.

Policy Research Analysts serve as strategic research professionals within the Department of Supervision, focusing on devising policies and strategies involving extensive data analysis, model construction, and validation. They conduct research on global developments in financial conglomerate supervision, contribute to framework development, and provide data-driven insights to support policy formulation and supervision of the Indian banking system.

Cyber Security Analysts in the Department of Supervision focus on conducting onsite IT examinations of applications and data centers across supervised banking entities. They implement new tools, techniques, and processes for cybersecurity and IT risk supervision. The role involves checking compliance with IT examination findings, monitoring supervised entities offsite, and contributing to the development of IT governance and security frameworks across the banking system.

Project managers in the Premises Department are responsible for effective monitoring and management of construction and infrastructure projects within RBI. They oversee project planning, implementation, and ensure timely completion while maintaining quality standards. The role involves coordinating across various offices, managing project data through specialized software tools, and providing strategic guidance on project execution to ensure optimal resource utilization and risk mitigation.

The Network Administrator designs, plans, implements, and maintains the organization's computer networks and telecommunications infrastructure. This role involves administering and configuring all security and network devices and systems, ensuring network connectivity and performance optimization. The Network Administrator collaborates with vendors for problem resolution, performs proactive network monitoring, and manages network architecture and design to support organizational requirements and scalability.

The IT - Cyber Security Analyst protects the organization's information systems and data by detecting, preventing, and responding to security threats and vulnerabilities. This role involves conducting security investigations, monitoring security incidents, performing risk assessments, and ensuring compliance with information security standards. The Cyber Security Analyst works with IT teams across the organization to maintain secure configurations, implement security controls, and drive security awareness and incident management processes.

The AI / ML Specialist develops and deploys advanced machine learning solutions to solve complex organizational challenges and drive data-driven decision making. This role involves designing innovative algorithms, training predictive models, and implementing AI systems that enhance organizational capabilities. The AI / ML Specialist works with cross-functional teams to identify opportunities for machine learning applications, ensures models perform optimally in production environments, and continuously improves solution effectiveness through rigorous testing and analysis.

The IT Project Administrator oversees the end-to-end implementation and maintenance of critical IT projects that support the organization's business operations. This role bridges business requirements with technical execution, ensuring that IT projects align with service level agreements and organizational goals. The IT Project Administrator manages project delivery schedules, coordinates across multiple technical teams, and ensures continuous availability and optimal performance of mission-critical applications and systems.

The IT System Administrator plays a critical role in ensuring the stability and availability of the organization's IT infrastructure. This position oversees the administration and maintenance of complex enterprise systems, including Mainframe platforms (z/VM, Linux), virtualization environments, and disaster recovery systems. The IT System Administrator works collaboratively across teams to optimize system performance, implement technical solutions, and provide strategic support for the organization's technology operations in data centers and operational environments.

Responsible for designing, implementation and maintenance of secure network and system architectures and access controls. This role involves conducting comprehensive security risk assessments, monitoring and responding to security incidents with timely resolution, and implementing controls to mitigate identified risks. The incumbent reviews Security workflows to improve efficiencies, ensures integration of multiple Security solutions for enhanced detection and response, and supports Security Operations and Network Operations centers. Key responsibilities include coordinating all audits, managing vendor performance for problem solving and troubleshooting, and maintaining and improving mechanisms for risk assessment and disseminating feedback to appropriate internal entities.

Responsible for the maintenance, improvement, cleaning, and manipulation of analytical databases pertaining to Data Science Lab. This role involves database design, data flow and analysis activities, working with data scientists to understand and implement database requirements, analyzing performance, and troubleshooting issues. The incumbent will ensure proper data governance and quality of databases used by Data Science Lab, analyze complex data elements and systems to create logical data models, define and build data pipelines for faster data-informed decision-making, play a key role in deployment of innovative big data platforms for advanced analytics, and perform ad-hoc analyses using visualization tools.

We are looking for a talented Data Scientist to join the Data Science Lab at the Reserve Bank of India. In this role, you will be responsible for building advanced data science solutions that support critical policy decisions and financial stability initiatives. You will work with both structured and unstructured data, leveraging cutting-edge techniques in Big Data, Machine Learning, and advanced analytics to address complex macroeconomic, financial, and banking challenges. This is an opportunity to contribute to national financial policy through innovative data analytics and help shape decisions on inflation management, currency management, debt management, and overall financial stability.