Jobs at Data Intellect

Build and support scalable AWS cloud infrastructure for production applications. Manage Kubernetes environments, Helm charts, CI/CD pipelines, and infrastructure as code using Terraform and Ansible. Automate processes with Bash and Python, improve monitoring and logging, troubleshoot complex production issues, and collaborate with software engineers. The role also supports incident management, root-cause analysis, disaster recovery, security, performance, reliability, and cloud cost optimization.

Graduate developers complete a three-month training program in Belfast covering Q programming and the kdb+ time-series database. They then work on financial data solutions for investment banks and hedge funds, potentially in global hubs including London, New York, Hong Kong, Singapore, and Toronto. The role requires a STEM degree, strong communication and problem-solving skills, teamwork, attention to detail, and willingness to relocate. Coding experience is beneficial but not required.

Graduate developer role featuring a three-month Belfast training program in Q programming and kdb+ time-series technology. Graduates will develop skills for financial data solutions supporting investment banks and hedge funds, with potential relocation to global financial hubs. Candidates need a STEM bachelor’s degree, strong communication and problem-solving abilities, teamwork, attention to detail, and willingness to relocate. Coding experience is beneficial but not required.

Leads technical delivery of high-performance kdb+ solutions for financial institutions. Designs scalable architectures for billions of time-series data rows, collaborates with quants and traders, mentors developers, and owns application development, testing, support, and maintenance. Drives innovation across kdb+, q, and related technologies while translating business needs into performant code.

Drives new enterprise business across investment banks, asset managers, broker-dealers, and other financial institutions. Responsibilities include prospecting, lead qualification, full-cycle sales, senior stakeholder relationship management, value proposition presentations, pipeline reporting, target achievement, and collaboration on proposals and RFP responses. The role requires resilience, strong commercial judgment, and experience navigating complex, multi-stakeholder enterprise sales processes.

Lead delivery of a strategic risk technology transformation program for a hedge fund client. Responsibilities include managing project plans, milestones, dependencies, risks, issues, Jira workflows, JQL dashboards, executive reporting, stakeholder communications, release planning, system integrations, and migration from legacy technology to a modern risk platform. The role coordinates developers, quantitative teams, business stakeholders, and senior technology leadership while maintaining delivery governance and proactively resolving blockers.

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.

Develop and enhance bespoke Python backend services, collaborate with clients on architecture and design, implement best-practice solutions, use appropriate tools/frameworks, write automated tests, manipulate complex datasets, share knowledge, and work in cross-functional teams to deliver clean, efficient software.

Lead the technical delivery and design of scalable kdb+ solutions while mentoring junior developers and collaborating with financial analysts.

Collaborate with users to define requirements, develop and maintain code, analyze time-series data, and mentor junior developers in a team environment.

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

This role involves developing and maintaining kdb+ applications, collaborating with business users, and mentoring junior developers in a dynamic team environment.

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.

As a Senior kdb+ Engineer, you'll lead client projects, design kdb+ architectures, mentor developers, and drive technical innovation in high-performance data systems.

As a kdb+ Consultant, you will lead technical delivery, design kdb+ architectures, mentor developers, and drive innovation in data solutions for financial institutions.

As a Senior kdb+ Engineer, you'll lead the development of high-performance kdb+ architectures for financial institutions, mentor junior developers, and ensure quality in code and delivery.

As a Senior kdb+ Engineer, you'll design and implement kdb+ architectures, mentor developers, and lead projects for financial institutions, ensuring high-performance solutions.

As a kdb+ Engineer, you will develop and maintain applications, support project delivery, analyze time-series data, and mentor junior developers.

Collaborate with business users, develop and maintain code for applications, analyze time-series data, and mentor junior developers.

Lead technical delivery of projects, design kdb+ architectures for time-series data, mentor developers, and drive innovation in kdb+ systems.