Join Deloitte's Strategy, Risk & Transaction team as an ETL Data Engineer focusing on Market Risk Capability. This role is integral to mitigating risks and identifying new value creation opportunities within the financial sector. You will be part of a team that offers comprehensive risk services, from strategic C-suite risk management to cyber threat mitigation.

Key responsibilities include developing and maintaining KDB infrastructure for analytics and research, implementing analytics and reporting for Quants, Sales, and Trading desks, and creating reusable modules for data analytics and system monitoring. You will also design and implement data feeds for trades, orders, and market data, tune services for optimal performance, and implement best-of-breed technical solutions using industry-standard patterns and methodologies. Collaboration with team members and business stakeholders is essential to ensure business requirements are met. Responsibilities also encompass thorough testing of implemented solutions, assisting with deployments, and accountability for code releases and production support.

We are seeking a skilled ETL Data Engineer with 5 to 7 years of relevant experience. Essential skills include excellent communication, stakeholder management, and analytical abilities, along with the capacity to manage multiple validations under strict deadlines. A Master’s degree or higher in Quantitative Finance, Statistics, Mathematics, or Engineering is desired. Familiarity with KDB infrastructure, analytics, reporting, data feed implementation, performance tuning, optimization, and development methodologies like BDD with CI/automated testing is crucial.