At a Glance
- Tasks: Develop data pipelines and analytics for trading models and improve back-office systems.
- Company: Global proprietary trading firm with a dynamic tech team in London and Frankfurt.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Engaging interview process focused on collaboration and real-world problem solving.
- Why this job: Join a cutting-edge team and make an impact in the fast-paced world of trading.
- Qualifications: Degree in Computer Science or related field, coding skills, and problem-solving mindset.
The predicted salary is between 63000 - 77000 £ per year.
Software Engineer, Trading Analytics
Capital Markets Trading is a global proprietary trading and investment firm with offices in Frankfurt, London, and Chicago.
We are seeking a versatile software engineer to join our small, highly capable global technology team.
This is a deliberately broad role spanning pricing and risk analytics, data infrastructure, and the back-office systems the business runs on - we're looking for range rather than deep specialisation in any one area.
This is an on-site role based in either our London or Frankfurt office.
What You'll Do
- Develop the data pipelines and analytics that turn our pricing and risk models into the numbers our traders rely on, including volatility surfaces, Pn L, and Greeks.
- Build distributed, high-performance systems using industry-standard open-source technologies.
- Build and improve back-office systems and workflows, including trade reconciliation, Pn L analysis, regulatory reporting, and operational processes.
- Collaborate closely with traders, quantitative researchers, and engineers to take ideas from prototype through to reliable production services.
What We're Looking For
- A bachelor's degree in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent practical experience.
- The ability to write clean, maintainable code, supported by some experience developing real-world software.
- Strong problem-solving skills and the ability to learn whichever language or technology a task requires.
We use Python extensively, but care more about how you think than what you already know.
- Confidence working with data and investigating performance, reliability, or data-quality issues.
- An AI-native approach: you use modern AI tools thoughtfully to explore ideas, reason through problems, and work more effectively.
- Nice to Have
- Practical experience working with large datasets, columnar or Parquet-based data, and data-pipeline orchestration.
- An understanding of options-pricing fundamentals, including Greeks, implied and local volatility, and volatility surfaces.
- Experience with technologies such as Airflow, Metaflow, Duck DB, Py Arrow, or distributed batch-compute frameworks.
- Experience with C++, Rust, or Go; g RPC; or distributed-system design.
- Experience building services backed by databases and running them in Kubernetes environments.
- Our Interview Process
Our interview process is designed to give you the opportunity to solve interesting problems and work collaboratively with members of the team.
It typically consists of an initial screening conversation followed by two or three technical and problem-solving interviews.
#J-18808-Ljbffr
Software Engineer - Trading Analytics employer: CMT Capital Markets Trading
At Capital Markets Trading, we pride ourselves on being an exceptional employer, offering a dynamic work environment in our London and Frankfurt offices. Our culture fosters collaboration and innovation, providing employees with opportunities for professional growth while working on cutting-edge technology in trading analytics. With a focus on versatility and problem-solving, we empower our team to develop impactful solutions that drive our business forward, making it a rewarding place to build your career.
Contact Details:
CMT Capital Markets Trading Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Trading Analytics
✨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 CMT Capital Markets Trading 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 CMT Capital Markets Trading.
✨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 CMT Capital Markets Trading.
✨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 CMT Capital Markets Trading 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 Software Engineer - Trading Analytics
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 CMT Capital Markets Trading.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at CMT Capital Markets Trading 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 CMT Capital Markets Trading
✨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 CMT Capital Markets Trading 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.
