At a Glance
- Tasks: Lead the development of innovative trading applications and automate processes for equity derivatives.
- Company: Join a dynamic tech-driven firm shaping the future of trading.
- Benefits: Competitive salary, career growth opportunities, and a collaborative work environment.
- Other info: Be part of a global team that values creativity and excellence.
- Why this job: Make a real impact in a fast-paced team while working with cutting-edge technology.
- Qualifications: Strong Python skills and experience in systematic trading technology required.
The predicted salary is between 80000 - 100000 £ per year.
Description
Join us to shape the future of equity derivatives trading through technology.
You’ll partner closely with trading desks, technology teams, and Quantitative Research to deliver impactful solutions.
We offer a dynamic environment where you can propose and explore new ideas, automate processes, and collaborate globally.
Your work will directly influence business transformation and provide opportunities for career growth.
Be part of an agile, delivery-focused team that values creativity and excellence.
As a Senior Software Engineer in the Equities Front Office Trading and Analytics Team, you will lead the Systematic Quoting Platform workstream for EMEA.
You will develop and enhance applications critical to the business, working closely with trading, sales, and Quantitative Research teams.
Your expertise in Python and agentic development will drive automation and innovation.
You will contribute to a global platform, ensuring stability and delivering high-quality solutions.
This role offers the chance to make a meaningful impact in a fast-paced, collaborative environment.
Job Responsibilities
- Develop and enhance applications for equity derivatives trading and analytics
- Partner with trading desks, technology teams, and Quantitative Research to deliver solutions
- Lead the Systematic Quoting Platform workstream for EMEA
- Maintain and improve the existing technology stack to ensure stability
- Automate Front Office processes and functions using technology solutions
- Collaborate with global and local counterparts to solve business problems
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e. g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Participate in business transformation projects across analytics, marking, and publishing
- Propose and explore new solutions to drive competitive advantage
- Apply disciplined code management, testing, and deployment practices
Required Qualifications, Capabilities, and Skills
- Hands-on experience with systematic trading technology platforms
- Proven ability to develop, deploy, and maintain commercial service-oriented applications
- Strong Python skills and familiarity with agentic development (ADLC)
- Business knowledge of simple derivative products (vanilla options, variance swaps, strategies involving vanillas)
- Understanding of pricing and risk evaluation using Greeks
- Experience with at least one modern programming language (Python, Java, etc.)
- Knowledge of at least one relational database (Sybase, SQL Server, Oracle, etc.)
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e. g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Effective utilization of unit testing
- Experience across the full project lifecycle
Preferred Qualifications, Capabilities, and Skills
- Equities business knowledge or relevant experience in other business areas. Unix or Linux knowledge
- Working knowledge of continuous integration and deployment processes
- Experience with project management
- Familiarity with service-oriented platforms and current generation open source frameworks
Lead Software Engineer - Python - Front Office Quant Developer in London employer: JPMorganChase
JPMorganChase is an exceptional employer, offering a dynamic work environment in Greater London where innovation thrives. With a strong commitment to diversity and inclusion, employees benefit from collaborative agile teams, extensive professional development opportunities, and the chance to work on cutting-edge technology products that shape the future of finance. Join us to be part of a culture that values your contributions and supports your growth.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer - Python - Front Office Quant Developer 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 JPMorganChase 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 JPMorganChase.
✨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 JPMorganChase.
✨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 JPMorganChase 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 Lead Software Engineer - Python - Front Office Quant Developer 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 JPMorganChase.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JPMorganChase 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 JPMorganChase
✨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 JPMorganChase 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.
