Teams at Data Intellect

Develop and implement quantitative models, risk analytics, hedging tools, portfolio valuation solutions, and optimization capabilities for capital markets risk platforms. Integrate models into production systems with engineering teams, modernize risk technology architecture, validate methodologies, improve performance, and support analytics across multiple asset classes while collaborating with Risk, Technology, and Front Office stakeholders.

Collaborate with business users, develop and maintain code, support project delivery, analyse time-series data, mentor junior developers.

The Senior kdb+ Engineer will lead technical delivery for client projects, implement robust kdb+ architectures, mentor junior developers, and drive innovation in high-performance systems for financial institutions.