SVP Senior KDB+ Platform Engineer at Citi

Job description

Citi’s Equities Technology organization is seeking a hands‑on Senior Software Engineer to join the Equities Timeseries group, a strategic, horizontal platform organization responsible for order data, tick data, and real‑time and historical Transaction Cost Analytics (TCA) supporting global Equities trading. Within this broader Timeseries organization, the role will focus on strategic time‑series data platforms that provide the analytics, canonical data models, and performance‑critical infrastructure underpinning electronic execution globally, including Algorithmic Trading and Smart Order Routing (SOR). The successful candidate will play a senior technical leadership role in the design, implementation, and evolution of these platforms, contributing to architecture decisions under microsecond-level latency constraints, defining and governing time‑series data models, and ensuring the correctness, explainability, and performance of analytics used across Citi’s electronic execution ecosystem. This role requires close, continuous collaboration with trading desks, product partners, and quantitative research teams globally, with strong alignment to firm‑wide strategy and cross‑regional delivery. Responsibilities: • 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 (or equivalent) 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. Qualifications: • 12+ years of hands‑on engineering experience with deep technical expertise in low‑latency time series databases, using KDB+/q. Experience in Java, C++ will be 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. Education: • Bachelor's degree / University degree in Computer Science, Engineering, or a related field, or equivalent professional experience. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Jersey City New Jersey United States ------------------------------------------------------ Primary Location Full Time Salary Range: $176,720.00 - $265,080.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Aug 05, 2026 ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents – AI Notice and Right ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Requirements

Must-haves

This role requires close, continuous collaboration with trading desks, product partners, and quantitative research teams globally, with strong alignment to firm‑wide strategy and cross‑regional delivery.
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 (or equivalent) 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.
12+ years of hands‑on engineering experience with deep technical expertise in low‑latency time series databases, using KDB+/q. Experience in Java, C++ will be 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 / University degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
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Technology ------------------------------------------------------
Applications Development ------------------------------------------------------
Full time ------------------------------------------------------

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Benefits

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Dental

Vision

401(K)

Paid Time Off

Wellness