Citi Group FI Algo Low Latency Lead Engineer 

United States, New York, New York 

692945004

Description

FI Algo Overview

The evolution of electronic trading and automation has changed the way that rates products tradedriving a need for real-time, low latency pricing, market making and risk technology.  In this increasingly electronic and competitive landscape, Citi isplayer due to its leadingand Algo platform and investment in technology.  The FI Algois at the forefrontevery day.   Our competitive advantage is our technology and having a platform that provides exceptional and dependable trading experience.are capable of seeing

Job Purpose

execution tools, internal market makers, matching engines,and the

Responsibilities

• Design, develop, engineer, and implementhigh performance, low latency applicationsleveragingexisting Citi

• Independently work with traders to interpret requirements and drive

• Extend existingalgo components to coveradditionalvenues/

• in collaborative

• Understanding ofgood designprinciples and ability to adhere to complex

• scalableand reliablealgo trading engines and

• Working with othereTradingteams to support live

• Drive architecture and execute onbig picturetechnical

• Drive engineering standardsacross global Algo

• Deliver next-generation performance and functionality andpartner with quants/traders todefinethe direction ofFIalgorithmic trading at

Qualifications

• Strong and diverse technical background. Ability to quickly learn and understandnew technologies, influence highly skilled engineeringteams

• +years experiencein low latency trading

• Extensive hand-on codingexpertisein Core Java.Rust nice to have.

• Experience with complex high performance distributed systems &messaging.

• Strong focus on system performance tuning and experience with low latency Java programming

• Experience with market data

• Basic Linux system performance tuning and monitoring, ability to troubleshoot performance issues within Java/Linux

• Knowledge of Interest Rates or Futures financial products (e.g.Treasuries/Swaps) is highly

• Strong academic record, ideally with a Bachelor’sorMaster’sdegree in Computer Science, Information Science, engineering or related technical or quantitative discipline.

• Self-motivated individual and with determination to achieve

• Excellent analytical andproblem solving

• environment

• Ability to work on afast-paceenvironment

• Fixed income product knowledge

• Proven leadership skills and experience

• Flexible and able to deliver quality results in the required