Join a dynamic team at Deloitte within Regulatory & Financial Risk, focusing on developing and maintaining robust KDB infrastructure for advanced analytics and research. This role is crucial for supporting Quants, Sales, and Trading desks by implementing sophisticated analytics and reporting solutions. You will be instrumental in building reusable modules and services, including data analytics, monitoring, and metrics for business and system events.

This position involves designing and implementing data feeds from various sources, such as trades, orders, and market data. A key aspect is optimizing services and modules for peak performance and high-volume handling. You will adopt industry-standard development patterns and methodologies, including behavior-driven development, continuous integration, and automated testing, ensuring high-quality code releases.

Develop and maintain existing KDB Infrastructure for Analytics & Research. Implement analytics and reporting MI for Quants, Sales, and Trading desks. Develop modules and services for data analytics, monitoring, and metrics. Design and implement data feeds for trades, orders, exchange market data, and prices. Tune and optimize services and modules for performance and volume. Implement technical solutions using industry-standard patterns and methodologies. Collaborate with team members and business stakeholders to understand requirements. Thoroughly test implemented solutions before User Acceptance Testing. Assist with component deployment to development and test environments. Take accountability for code releases to production and assist in production support.

Possess 5 to 7 years of relevant experience in KDB development and financial risk analytics. Demonstrate excellent communication, stakeholder management, and analytical skills. Exhibitable ability to manage multiple validations under tight deadlines. Desired qualification is a Master’s degree or higher in Quantitative Finance, Statistics, Mathematics, Engineering, or a related field. Familiarity with behavior-driven development, continuous integration, and automated unit/integration testing is essential. Experience in designing and implementing data feeds from diverse sources is required. Strong understanding of performance tuning and optimization techniques for services and modules is expected.