Senior Java Engineer - Fixed Income Algo Platform (Hybrid)

Citi

Greater London

Hybrid

GBP 100,000 - 150,000

Full time

23 hours ago
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Benefits offered by this job

27 days annual leave
Discretional annual bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special employee discounts
Learning and development resources

Job summary

Citi London is seeking an experienced software engineer to advance the Fixed Income Algo trading platform. You will design high‑performance, low‑latency components and collaborate with Traders, Quants and Product Managers to translate business requirements into robust software that scales under heavy market data.

The role offers a hybrid work model, mentorship and strong career progression within a global technology organization that values innovation, reliability and clear engineering

Qualifications

  • Significant hands-on coding experience in core Java for low-latency, high-throughput distributed apps.
  • Knowledge of data structures, design patterns, OOP, and algorithms complexity.

Responsibilities

  • Design and develop reusable algo trading platform components with focus on high performance and low latency.
  • Collaborate with Traders, Quants, and Product Managers to translate requirements into software enhancements.
  • Ensure reliability, scalability, and performance of core algorithmic components.
  • Work with eTrading Teams and Production Support to maintain and enhance live trading systems.
  • Adhere to engineering standards and continuously improve solutions.

Skills

Java
Low latency
Distributed systems
Data structures
Design patterns
Algorithms

Education

Bachelor's degree in Computer Science/Engineering

Tools

Solace
Kafka
Chronicle
Aeron
Gradle
Git
TeamCity
Jenkins
Artifactory

Job description

Citi London is seeking an experienced software engineer to advance the Fixed Income Algo trading platform. You will design high‑performance, low‑latency components and collaborate with Traders, Quants and Product Managers to translate business requirements into robust software that scales under heavy market data.

The role offers a hybrid work model, mentorship and strong career progression within a global technology organization that values innovation, reliability and clear engineering

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