Deputy Manager | ETL Data Engineer Market Risk Capability | Bengaluru | Regulatory & Financial Risk

Deputy Manager | ETL Data Engineer Market Risk Capability | Bengaluru | Regulatory & Financial Risk • Job requisition ID : 106638 • Location : Bengaluru • Entity : Deloitte Touche Tohmatsu India LLP The team Deloitte Strategy, Risk & Transaction helps entities mitigate risk while discovering new opportunities to create value. Our end-to-end risk services span all domains, from managing strategic risks in the C-Suite to improving board oversight, and from balancing financial and environmental policies to addressing cyber threats. Learn more about Risk, Regulatory & Forensic ) Your work profile Develop & Maintain existing KDB Infrastructure for Analytics & Research Implementing analytics and reporting MI for the Quants, Sales and Trading desks Development of modules and services to be used as building blocks, such as data analytics, monitoring and metrics for both business trading and system events Design and implementation of data feeds for trades, orders, exchange market data, tradable market prices and many other sources Tuning and optimizing services and modules for performance and volume Implement best-of-breed technical solutions based on agreed technical design, adopting industry standard development patterns and methodologies, including behaviour-driven development with continuous integration / automated unit and integration testing Work with other team members and liaise with nominated business stakeholders when required to ensure that business requirements are fully understood before commencing design and development Fully test implemented solutions in advance of User Acceptance Testing Assist (when required) with the deployment of components to development and test environments Accountability on code release to production, production change requests and assists in production support where required Key skills required: Excellent communication, stakeholder management, and analytical skills. Ability to manage multiple validations under tight timelines Desired qualifications Master’s degree or higher in Quantitative Finance, Statistics, Mathematics, Engineering, or related field 5 to 7 years of relevant experience