At a Glance
- Tasks: Design and develop Python applications for Fixed Income trading, enhancing technology platforms.
- Company: Leading investment firm in Central London with a focus on innovation.
- Benefits: Competitive base salary plus bonus, full-time role with growth opportunities.
- Other info: Collaborative environment with direct involvement in trading and investment decision-making.
- Why this job: Join a dynamic team and make a real impact in the finance tech space.
- Qualifications: Strong Python skills and experience in software engineering within financial services.
The predicted salary is between 60000 - 80000 £ per year.
A leading investment firm is seeking a Quantitative Developer to join a Fixed Income trading team, partnering directly with Portfolio Managers, Traders, and Researchers to build and enhance the technology platform supporting investment decision-making and trading activities. This is a highly technical software engineering-focused role. The successful candidate will spend the majority of their time designing, developing, and maintaining Python-based applications, analytics platforms, data pipelines, and trading tools rather than conducting quantitative research or model development.
Key Responsibilities
- Design, develop, and maintain Python applications supporting Fixed Income Portfolio Managers and Traders.
- Build scalable analytics platforms, data services, and workflow automation tools used across the investment process.
- Develop and enhance market data, reference data, pricing, risk, and portfolio management infrastructure.
- Engineer robust data pipelines for large-scale financial datasets, ensuring high levels of data quality and reliability.
- Create tools and applications that improve trading workflows, portfolio monitoring, risk analysis, and operational efficiency.
- Partner closely with investment professionals to understand requirements and translate them into production-grade technology solutions.
- Improve system performance, scalability, monitoring, and operational resilience across the trading technology stack.
- Contribute to software architecture decisions, development standards, and engineering best practices.
- Support the deployment and ongoing maintenance of business-critical applications in a production environment.
Required Experience
- Strong commercial software engineering experience with Python as a primary development language.
- Experience building enterprise‑grade applications, data platforms, APIs, or distributed systems within financial services or other highly technical environments.
- Strong understanding of software engineering principles, including object‑oriented design, testing, version control, and system architecture.
- Experience working with large datasets and developing scalable data‑processing solutions.
- Strong SQL skills and experience working with relational databases.
- Familiarity with cloud technologies, containerisation, CI/CD pipelines, and modern development practices.
- Experience gathering requirements directly from business users and delivering technology solutions in an agile environment.
Preferred Experience
- Exposure to Fixed Income products including Rates, Credit, Government Bonds, Corporate Bonds, Swaps, Futures, or related asset classes.
- Experience supporting Portfolio Managers, Traders, or Investment Teams within a hedge fund, asset manager, investment bank, or proprietary trading firm.
- Familiarity with market data platforms and financial data vendors.
- Experience with distributed computing, workflow orchestration, or real‑time data systems.
Candidate Profile
This opportunity is best suited to a technically strong Python developer who enjoys building software and solving engineering challenges within a front‑office investment environment. While an understanding of Fixed Income markets is beneficial, the emphasis is on software development, platform engineering, and delivering robust technology solutions that directly support investment professionals.
Quantitative Developer- Trading Desk Python in London employer: Goldman Lloyds
Join a leading investment firm in Central London as a Quantitative Developer, where you will thrive in a dynamic and collaborative work culture that prioritises innovation and technical excellence. With a focus on employee growth, the company offers extensive opportunities for professional development and mentorship, ensuring that your contributions directly impact the trading desk's success. Enjoy competitive compensation, including a base salary plus bonus, while working alongside talented professionals in a fast-paced environment that values creativity and problem-solving.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer- Trading Desk Python in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Goldman Lloyds or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Goldman Lloyds.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Goldman Lloyds.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Goldman Lloyds that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Quantitative Developer- Trading Desk Python in London
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 Goldman Lloyds.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Goldman Lloyds 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 Goldman Lloyds
✨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 Goldman Lloyds 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.
