Fixed Income Senior Algo Developer in London

Fixed Income Senior Algo Developer in London

London Full-Time 81000 - 99000 £ / year (est.) On-site
Citi Group

At a Glance

  • Tasks: Lead the design and development of a cutting-edge low-latency Algo trading platform.
  • Company: Join Citi's innovative Fixed Income Technology team, driving market infrastructure.
  • Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
  • Other info: Dynamic role with mentorship opportunities and a focus on continuous learning.
  • Why this job: Make a real impact in finance with advanced technology and collaborative projects.
  • Qualifications: Expertise in Java and Rust, with experience in low-latency trading systems.

The predicted salary is between 81000 - 99000 £ per year.

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 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.

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.
  • 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 and Credit, including their pricing, risk sensitivities and hedging relationships.
  • Market Microstructure: Working knowledge of market microstructure across the Fixed Income venues used for hedging.
  • 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.
  • High-Performance Messaging: Strong knowledge of high-performance messaging middleware and low-latency data handling techniques.
  • Low-Level Performance Tuning: Hands-on experience tuning hardware, OS and network stack for low-latency infrastructure.
  • 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.

Fixed Income Senior Algo Developer in London employer: Citi Group

Citi Belfast is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation in the financial sector. With a strong focus on employee growth, you will have opportunities to mentor junior staff while driving impactful governance and risk management initiatives. The hybrid work model and competitive benefits package further enhance the appeal of working in this vibrant location, making it a rewarding place for professionals seeking meaningful careers.

Citi Group

Contact Details:

Citi Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Fixed Income Senior Algo Developer in London

✨Join Local Tech Meetups

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✨Contribute to Open Source Projects

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We think you need these skills to ace Fixed Income Senior Algo Developer in London

Java
Rust
Low-Latency Programming
Algorithm Development
System Architecture
Performance Tuning
Quant Pricing Containers

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Citi Group.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Citi Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Citi Group

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Citi Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.