Quantitative Risk Analytics Strategist
Morgan Stanley Β· Budapest, Strats
About this role
Join a Global Leader in Financial Services: Morgan Stanley Morgan Stanley is a leading global financial services firm that has been a driving force in the industry for 90 years. With a strong reputation for innovation, integrity, and teamwork, we are committed to delivering exceptional results to our clients and shareholders. Our people are our greatest asset, and we are dedicated to fostering a culture of collaboration, creativity, and excellence
Role Overview This role focuses on supporting Trading Risk Management by delivering accurate and timely data. Responsibilities include designing, implementing and maintaining reporting solutions, ensuring high data quality and enabling fast access to key metrics. The role also involves aggregating data from multiple sources, validating and creating tools to distribute insights across the organization
Additionally, it contributes to the continuous improvement of data processes and supports the development of scalable, efficient reporting workflows. The role plays key part in ensuring the stakeholders can make informed decisions based on reliable and well-structured information. Key Responsibilities: * Write, test, and maintain KDB+/Q code for data ingestion, transformation and querying * Design checks, validation rules and monitoring tools that ensure accuracy across historical and intraday datasets * Build components that power internal reports and analytics dashboards, with focus on consistency and reliability * Optimize queries, schemas and processes to improve retrieval speed and system performance * Work with data analysts, risk managers and other engineers to understand reporting needs and translate them into robust workflows * Contribute to daily operations, troubleshoot issues, and support ongoing improvements to the data systems Requirements * Degree in Computer Science, Math, Engineering, Physics or another quantitative field * Strong knowledge of Python, C++ or Java, familiarity
Apply for this role on Morgan Stanleyβs official careers site.