Citi

Citi

Posted via Workday

Fixed Income Senior Algo Developer

Apply by Nov 1, 2026

Posted Oct 23, 2026

Role at a glance

Salary
Not Disclosed
Location
London United Kingdom, United Kingdom
Work arrangement
Hybrid
Employment
Full-time
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

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Role Summary

AI-generated

Senior technical leadership role on the Fixed Income Technology team, responsible for the architecture, design, and implementation of a next-generation cross-asset low-latency Algo platform covering pricing, hedging, and execution systems. The role is hands-on in Java and Rust and includes mentoring engineers and serving as a senior escalation point for production issues.

What You'll Do

  • Lead the architectural design and development of high-performance, low-latency Algo platform systems for Fixed Income products
  • Engage in active, hands-on coding in Java and Rust, contributing to the core codebase
  • Design, implement, and optimize trading workflows for ultra-low latency, including tuning of hardware, operating system, and network stack
  • Partner with front-office traders, quants, and product managers to translate business requirements into technical solutions
  • Mentor and coach junior and mid-level engineers
  • Act as a senior escalation point for resolving complex production issues

Generated from the employer's posting. Verify important details before applying.

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Qualifications

A bachelor's or master's degree in a related field, extensive low-latency trading software experience, and expert proficiency in Java and Rust.

Required

  • Extensive professional software development experience, with a significant portion in a front-office role focused on low-latency Algo...
  • Deep understanding of Fixed Income Rates and Credit products, including pricing, risk sensitivities, hedging relationships, electronic...
  • Expert-level proficiency in Java and Rust with a strong emphasis on performance-critical, low-latency programming
  • Proven experience in the design, development, and maintenance of Fixed Income quant pricing containers
  • Demonstrable expertise in building and optimizing low-latency pricing, hedging, and execution systems
  • Solid hands-on experience integrating with and managing vendor connectivity (e.g., Redline, ION)
  • Strong knowledge of high-performance messaging middleware (e.g., Aeron, Solace) and low-latency data handling techniques
  • Hands-on experience tuning hardware, OS, and network stack for low-latency infrastructure

Preferred

  • Working knowledge of market microstructure across Fixed Income venues used for hedging, such as CME, Eurex, ICE, MTS, BrokerTec (BTEC)...

Original job description

Content provided by the employer

Team Overview

The Fixed Income Technology group is a global team responsible for the design, development, and support of the trading and risk management systems used by the Fixed Income business. Our platforms are a critical part of Citi's markets infrastructure, processing millions of trades and calculating risk for a multi-billion-dollar portfolio. We are a fast-paced, results-oriented team that values innovation, collaboration, and technical excellence. We work in close partnership with traders, quants, and other business stakeholders to deliver cutting-edge solutions that drive business growth.

Role Overview

We are seeking a highly skilled and experienced lead engineer to join our Fixed Income Technology team, specializing in low-latency Algo trading. As a Senior Vice President, you will be a key technical leader responsible for the architecture, design, and implementation of our next-generation cross-asset Algo platform including pricing, hedging and execution systems. This is a hands-on role that combines deep technical expertise in Java and Rust with leadership and a strategic mindset. You will lead complex, business-critical projects, mentor talented engineers, and drive the adoption of modern technologies and best practices in high-performance computing.

Key Responsibilities

  • Technical Leadership: Lead the architectural design and development of high-performance, low-latency Algo platform including pricing, hedging and execution systems for Fixed Income products.
  • Hands-On Development: Engage in active, hands-on coding in Java and Rust, contributing to the core codebase and setting standard for quality, performance, and reliability.
  • System Architecture: Define and drive the long-term technology vision for the order management platform, ensuring it is scalable, resilient, and aligned with business goals.
  • Low-Latency Optimization: Design, implement, and optimize trading workflows for ultra-low latency, ensuring minimal processing time from order receipt to execution, including tuning of the underlying hardware, operating system and network stack.
  • Stakeholder Collaboration: Partner closely with front-office traders, quants, and product managers to understand business requirements and translate them into robust technical solutions.
  • Mentorship & Guidance: Mentor and coach junior and mid-level engineers, fostering a culture of technical excellence, innovation, and continuous learning.
  • Production Support: Act as a senior escalation point for resolving complex production issues, ensuring the stability and integrity of the trading platform.

Qualifications & Skills

  • Experience: Extensive professional software development experience, with a significant portion in a front-office role focused on low-latency Algo trading.
  • Domain Knowledge: Deep understanding of Fixed Income products across both Rates (e.g., government bonds, interest rate futures, swaps and other rates derivatives) and Credit (e.g., investment grade and high yield corporate bonds, CDS single names, CDX/iTraxx indices, credit ETFs and portfolio trading), including their pricing, risk sensitivities and hedging relationships, together with electronic trading concepts, market data, and the trade lifecycle is essential.
  • Market Microstructure (good to have): Working knowledge of market microstructure across the Fixed Income venues used for hedging, such as CME, Eurex, ICE, MTS, BrokerTec (BTEC) and FMX, including order book dynamics, matching engine behavior, order types, and venue-specific protocols and latency characteristics.
  • Technical Expertise:
    • Expert-level proficiency in Java and Rust, with a strong emphasis on performance-critical, low-latency programming.
    • Quant Containers: Proven experience in the design, development, and maintenance of Fixed Income quant pricing containers is essential.
    • Demonstrable expertise in building and optimizing low-latency pricing, hedging and execution systems
    • Solid hands-on experience in integrating with and managing vendor connectivity (e.g., Redline, ION)
    • Strong knowledge and practical experience in designing and implementing robust pricing, hedging and execution systems for ultra-low-latency environments
    • High-Performance Messaging: Strong knowledge of high-performance messaging middleware (e.g., Aeron, Solace) and low-latency data handling techniques.
    • Low-Level Performance Tuning: Hands-on experience tuning hardware, OS and network stack for low-latency infrastructure, including CPU isolation and thread pinning, NUMA-aware memory layout, kernel-bypass networking (e.g., Solarflare/Onload, DPDK), interrupt affinity, huge pages, and JVM/GC tuning for predictable tail latency.
    • Proven experience designing and building complex, distributed, and fault-tolerant systems.
    • Experience with modern development tools, including Git, Jenkins, and containerization technologies (e.g., Docker, OpenShift).
  • Leadership: Demonstrable experience leading software projects, mentoring engineers, and making key architectural decisions.
  • Problem Solving: Exceptional analytical and problem-solving skills, with the ability to tackle complex challenges under pressure.
  • Communication: Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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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.

 

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View Citi’s EEO Policy Statement and the Know Your Rights poster.

Citi

About the company

Citi

Large Enterprise

Citi is a global financial services corporation that offers a wide range of financial products and services, including consumer banking, credit, investment banking, and wealth management. With a presence in nearly 100 countries, Citi serves millions of customers, from individuals and small businesses to large corporations and governments. The company is dedicated to innovation and sustainability, actively working to support economic growth while addressing environmental and social challenges. Citi’s commitment to providing exceptional service and fostering diverse talent makes it a prominent choice for students aspiring to build a career in finance and banking.