Citi’s Equities Technology organization is looking for a Senior Software Engineer to join the Equities Timeseries group. This role focuses on developing strategic time-series data platforms that support analytics and infrastructure for electronic execution in global Equities trading. The successful candidate will lead technical efforts in designing and implementing high-performance systems under strict latency constraints. Collaboration with trading desks and quantitative research teams is essential to ensure alignment with firm-wide strategies.

• 12+ years of hands-on engineering experience with deep technical expertise in low-latency time series databases, using KDB+/q.
• Experience in Java and C++ is desired.
• Deep expertise in KDB+/q or equivalent high-performance time-series platforms, with demonstrated ownership of production systems.
• Prior experience building or owning Algorithmic Trading, SOR, Market Making, or Quantitative Trading time series platforms at a global financial institution.
• Strong understanding of market microstructure, electronic execution workflows, and regional exchange and regulatory regimes.
• Proven ability to design and operate systems where analytics correctness is non-negotiable, even under extreme performance constraints.
• Strong understanding of performance optimization and high-throughput architectures.
• Experience defining and governing shared data models used by multiple downstream systems.
• Ability to prioritize multiple initiatives and deliver in a fast-paced, globally distributed environment.
• Excellent communication skills, with the ability to reason and explain complex systems to engineers, quants, and trading stakeholders.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

• Design and develop next-generation time-series analytics platforms supporting multiple execution-critical systems within the Equities Timeseries organization.
• Own and evolve high-performance KDB+/q platforms used for order, execution, market data, and TCA analytics across both real-time and historical use cases.
• Define, govern, and maintain canonical time-series schemas and data models that are shared across Algorithmic Trading, SOR, and other electronic execution consumers.
• Contribute to architectural decisions for ultra-low-latency, high-throughput systems, ensuring analytics can operate under microsecond-level constraints.
• Partner closely with traders and quantitative researchers to co-design and productionize analytics, translating research ideas into reliable, production-grade time-series systems.
• Drive high standards in code quality, automated testing, and SDLC discipline, with a focus on analytics correctness and repeatability.
• Continuously improve testing frameworks, development tools, and environments to support platform reliability at scale.
• Leverage Citi’s AI-powered SDLC tooling to enhance developer productivity, code quality, and innovation.
• Build and maintain shared platform capabilities for monitoring, reconciliation, traceability, recovery, and auditability of electronic trading analytics.

• Citi offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.