At a Glance
- Tasks: Build and enhance systems for global financial institutions using Python and AWS.
- Company: Join a dynamic team at London Stock Exchange Group, driving financial stability.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- Other info: Collaborative environment with opportunities for personal growth and sustainability initiatives.
- Why this job: Make a real impact in finance while developing your software engineering skills.
- Qualifications: Strong Python skills and experience with trade booking or post-trade systems.
The predicted salary is between 60000 - 75000 £ per year.
The Optimisation CoreTech Strats team builds the systems that sit at the heart of Quantile’s client services. As a large, diverse, and highly collaborative engineering team, we are responsible for designing and delivering the infrastructure, applications, and data pipelines that allow financial institutions to securely submit risk and trade data to Quantile.
We are looking for a mid-level software engineer to join our team. In this role, you will contribute to building and enhancing systems that power large-scale optimisation runs used by global financial institutions. You’ll collaborate with colleagues in Product Development and Financial Engineering to deliver reliable, high-quality solutions, while continuing to develop your expertise in infrastructure systems and software engineering. You will validate and integrate financial data into the optimisation algorithms and ensure results are delivered back to clients in a secure, reliable, and timely way. You will also develop analytics and feedback capabilities that help both our Product management team and clients better understand outcomes and identify ways to improve future optimisation runs through adjustments to inputs, parameters, and workflows.
Our technology stack is centred on Python on the backend, with extensive use of AWS services, and React on the frontend. Data is managed across PostgreSQL (RDS), Redshift/Snowflake, and S3.
Key Responsibilities
- Design, build, and deliver high-quality software solutions both independently and as part of a wider engineering team
- Develop APIs and backend services for scenario generation and integration with quantitative libraries
- Evaluate and improve the performance, effectiveness, and reliability of system components
- Validate and process client data accurately and securely
- Identify and implement opportunities to automate processes and workflows
- Generate structured reports and formatted output files for delivery to clients and third-party APIs
What We’re Looking For
- Strong Python skills
- Experience working with trade booking, middle-office, or post-trade systems, and familiarity with standards such as MarkitWire, FpML, or FIX protocol
- Familiarity building data-intensive applications, including use of PyData stack
- Strong problem-solving, communication, and collaboration skills
- Familiarity with Unix/Linux, Git, and SQL
Desirable
- Knowledge of financial derivatives, clearing and the basics of margin and capital regulatory requirements
- Exposure to AI-assisted tools or workflow automation in a secure, responsible engineering environment
- Experience across the full software development lifecycle, and understanding of software design principles (including SOLID), clean code practices, and object-oriented programming
- Affinity with Java and/or C++ programming
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
Python Developer employer: London Stock Exchange Group
At London Stock Exchange Group, we pride ourselves on being an exceptional employer that champions innovation and sustainability. Our collaborative work culture fosters professional growth, offering employees ample opportunities to develop their skills in a dynamic environment focused on sustainable investment. Located in the heart of London, we provide a vibrant workplace with access to industry-leading resources and a commitment to making a positive impact in the financial sector.
Contact Details:
London Stock Exchange Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer
✨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 London Stock Exchange Group 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 London Stock Exchange Group.
✨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 London Stock Exchange Group.
✨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 London Stock Exchange Group 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 Python Developer
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 London Stock Exchange 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 London Stock Exchange 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 London Stock Exchange 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 London Stock Exchange 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.
