SVP Senior KDB+ Platform Engineer

Citi

Remote

Quick summary

Work type: Remote
Location: Jersey City, NJ
Salary: $176,720–$265,080 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k

This role $221k

$139k most similar roles pay here $279k

This role pays more than 72% of similar roles. Most pay $152,739–$222,000 — the shaded band above. At the midpoint, this role pays about $221k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 369 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 347 roles with salary data.

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At a glance

TL;DR · SVP Senior KDB+ Platform Engineer

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Citi’s Equities Technology organization is seeking a Senior Software Engineer to join the Equities Timeseries group, responsible for order data, tick data, and real-time Transaction Cost Analytics (TCA) supporting global trading. This role involves designing and implementing high-performance KDB+/q platforms used for order, execution, market data, and TCA analytics across both real-time and historical use cases. The candidate will define and maintain canonical time-series schemas and collaborate closely with traders and researchers to co-design and productionize analytics under microsecond-level latency constraints. Essential skills include deep expertise in KDB+/q or equivalent high-performance time-series platforms, experience with Java and C++, and a strong understanding of market microstructure and electronic execution workflows. The role requires working within a fast-paced, globally distributed environment where ensuring the correctness and performance of analytics is critical.

Skills

KDB+/q Java C++ Algorithmic Trading SOR Market Making Quantitative Trading Low-latency time series databases High-throughput architectures Performance optimization SDLC discipline Automated testing Monitoring Reconciliation Traceability AI-powered SDLC tooling Code quality Development tools Testing frameworks

What you'll do

Design and develop next-generation time-series analytics platforms for multiple execution-critical systems.
Own and evolve high-performance KDB+/q platforms for order, execution, market data, and TCA analytics.
Define and govern canonical time-series schemas used across Algorithmic Trading and SOR systems.
Contribute to architectural decisions ensuring ultra-low-latency performance under microsecond constraints.
Partner with traders and researchers to co-design and productionize reliable time-series systems.

What we're looking for

12+ years of hands-on engineering experience with KDB+/q or equivalent time-series platforms.
Deep expertise in low-latency time series databases and high-performance system design.
Proven track record building Algorithmic Trading, SOR, or Quantitative Trading platforms.
Strong understanding of market microstructure and electronic execution workflows.
Ability to govern shared data models used by multiple downstream systems.
Excellent communication skills for complex technical explanations across teams.

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