This role pays more than
62%
of similar roles. Most pay
$145,700–$206,675
— the shaded band above.
At the midpoint, this role pays about
$178k
versus about
$176k
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
269 open roles
on FindRole.
Listed pay typically runs
$125,760–$188,640
across 252 roles with salary data.
As a Java Algo Developer, Fixed Income Trading, Vice President, you will join the Fixed Income Algo Technology team to advance internal market-making and algorithmic trading capabilities for the Spread Product business. You will design and develop reusable, high-performance, low-latency trading platform components while collaborating with traders and quants to solve complex technical problems. Your daily work involves ensuring the reliability of core algorithmic components and maintaining live trading systems in coordination with production support teams. The role requires extensive experience in core Java for distributed applications, along with proficiency in messaging technologies like Solace and Kafka, and tools such as Chronicle or Aeron. You will also manage market data processing, back-testing frameworks, and historical data storage. Required skills include Linux system performance tuning, distributed caching, and familiarity with Gradle, Git, TeamCity, Jenkins, and Artifactory.
Design and develop reusable algorithmic trading platform components focused on high performance and low latency.
Implement functional enhancements to the trading platform based on requirements from traders, quants, and product managers.
Ensure the reliability, scalability, and performance of core algorithmic components.
Maintain and enhance live trading systems in coordination with eTrading teams and production support.
Develop and manage market data processing applications and trading systems.
Build robust back-testing frameworks and manage historical data storage solutions.
Perform Linux system performance tuning and troubleshoot issues within the Java/Linux stack.
What we're looking for
6-10 years of hands-on coding experience in core Java for low-latency, high-throughput distributed applications.
Profound understanding of software development fundamentals, data structures, design patterns, OOP, and algorithm complexity analysis.
Demonstrated experience with messaging technologies such as Solace or Kafka.
Practical experience with Chronicle and/or Aeron.
Experience with distributed caching techniques.
Proven track record in implementing market data processing applications, trading applications, back-testing frameworks, and managing historical data storage.
Basic proficiency in Linux system performance tuning and monitoring to troubleshoot issues within the Java/Linux stack.
A Bachelor's degree in Computer Science, Information Science, Engineering, or a related technical or quantitative discipline.