At a Glance
- Tasks: Develop innovative security tools using Python and Go for a leading algorithmic trading firm.
- Company: Join a top algorithmic trading firm in London, renowned for its cutting-edge technology.
- Benefits: Competitive salary, diverse team, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and diverse perspectives.
- Why this job: Make a real impact on secure trading systems in a dynamic tech environment.
- Qualifications: Strong Python skills, Unix experience, and a passion for security challenges.
The predicted salary is between 56700 - 69300 £ per year.
Fantastic opportunity for talented programmers at one of the world's top algorithmic trading firms in their London office. They make the world's markets more financially efficient using smart algorithms. To get the job done, they hire some of the smartest computer scientists in the world to develop both their low latency trading platform and their massive distributed research platform.
The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage the server and network infrastructure. As a Systems Software Engineer with a focus on Security, your main focus will be tool development in Python and Go to engineer creative solutions to security challenges. You'll improve and integrate existing tools and libraries across the platform, as well as design and build new ones to make trading, research, installation, and monitoring systems easier to manage, more secure, and more reliable.
Strong Python skills and development experience are required, along with Unix experience and interest in the security space. This role offers a unique opportunity to make a significant impact on a critical part of existing and growing infrastructure.
Your responsibilities will vary, but a typical day in the life might look like:
- Building and maintaining tools and software features to automate systems engineering workflows related to secure machine provisioning, monitoring, metrics collection, maintenance, secrets management, and network configuration
- Troubleshooting software bugs on a fleet of Linux machines, including application, network, operating system, and/or kernel issues
- Writing configuration management code to build, deploy, and maintain new services
- Helping to set the general direction for the Systems Python platform
- Working across the engineering teams to help create solutions to a variety of security challenges
Qualifications
Required:
- Strong Python programming
- Ability to debug and analyze problems quickly
- Ability to learn at a fast pace and apply new skills effectively
- Strong grasp of computer science fundamentals and software design patterns
- Solid understanding of Linux/UNIX operating systems
- Interest in and awareness of security best practices
Preferred:
- Understanding of Debian operating system
- Familiarity with systems configuration management and monitoring technologies
- Familiarity with continuous integration and continuous deployment tools and processes
- Understanding of networking protocols
Profile
- BS and/or MS in computer science or a related field
- 2+ years of relevant experience, including programming in Python
- Experience using automation to solve problems and improve process efficiency
- Acts effectively as a team player, but also works well independently
- Skilled at juggling multiple tasks while maintaining meticulous attention to detail
- Familiarity with open-source software
Culture:
This fund brings a scientific approach to trading financial products. They've built one of the world's most sophisticated computing environments for research and development, and their researchers are at the forefront of innovation in the world of algorithmic trading. Colleagues come from all sorts of backgrounds: mathematics, computer science, statistics, physics, and engineering. A community of self-starters who are motivated by the excitement of being at the cutting edge of automated trading, and their culture celebrates great ideas whether they come from veterans or new hires.
Seem like something you might be interested in? The goal is to find the best people and bring them together to do great work in a place where everyone is valued. They're proud of their diverse staff; with offices all over the globe they benefit from varied and unique perspectives. This is an equal opportunity employer; so whoever you are they'd love to get to know you.
Contact
If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks george.hutchinson-binks@oxfordknight.co.uk (+44) 07885 545220 linkedin.com/in/george-hutchinson-binks-a62a69252
Software Engineer - Security- Tech-Driven Algorithmic Fund in London employer: Oxford Knight
As one of the world's leading algorithmic trading firms, we offer an exceptional work environment where innovation thrives. Our friendly and informal culture fosters collaboration across teams, allowing you to tackle complex challenges with cutting-edge technologies while enjoying a market-leading salary and generous benefits. Join us to make a significant impact in the financial sector and advance your career in a role that values your contributions and expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Security- Tech-Driven Algorithmic Fund 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 Software Engineer - Security- Tech-Driven Algorithmic Fund 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 Oxford Knight.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Oxford Knight 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 Oxford Knight
✨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 Oxford Knight 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.
