At a Glance
- Tasks: Own and enhance the Network Infrastructure team's documentation and processes in Confluence.
- Company: Join Qube Research & Technologies, a global leader in quantitative investment management.
- Benefits: Enjoy a supportive culture, flexible work options, and opportunities for professional growth.
- Other info: Be part of a diverse team driving innovation in a dynamic environment.
- Why this job: Make a real impact by improving clarity and efficiency in technical documentation.
- Qualifications: Experience in technical writing and process analysis, with strong Confluence skills.
The predicted salary is between 60000 - 80000 £ per year.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
The Network Infrastructure team designs, builds, and supports the networking environment that underpins QRT’s global technology platforms. The team ensures secure, scalable, and resilient connectivity across all regions and collaborates closely with Infrastructure, Security, and Engineering groups.
Your Future Role within QRT
- You will take ownership of the Network Infrastructure team’s documentation and process library within Confluence.
- The role combines technical writing, content governance, and process analysis to ensure clarity, consistency, and continuous improvement in how information and workflows are structured.
- Review and assess existing Confluence documentation to identify outdated, duplicated, or unclear content.
- Redesign and maintain a logical structure for the Confluence space.
- Develop and apply documentation templates, naming conventions, and style standards.
- Rewrite and consolidate content to ensure technical accuracy and consistency.
- Define documentation ownership and review cycles.
- Create supporting visual materials such as diagrams and flowcharts.
- Work with Engineers and Project Managers to capture and document operational and delivery processes.
- Identify inefficiencies and improvement opportunities within current workflows.
- Contribute to the design and rollout of future-state processes.
- Maintain process documentation to reflect changes in ways of working.
Your Present Skillset
- Proven experience as a Technical Author, Technical Writer, or in a documentation-focused role.
- Experience documenting and improving technical or operational delivery processes.
- Strong proficiency with Confluence, including content governance and structure management.
- Ability to understand and communicate networking concepts clearly.
- Experience collaborating with technical stakeholders to capture and translate information accurately.
- Excellent written communication and attention to detail.
- Experience leading or coordinating cross-team documentation or process initiatives.
Desirable/nice to have:
- Familiarity with Lean, Six Sigma, or continuous improvement methods.
- Working knowledge of networking concepts (BGP, routing, firewalls, site connectivity).
- Exposure to workflow automation tools (e.g. Tines, n8n, Zapier).
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.
Contact Details:
Quberesearchandtechnologies Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Technical Author & Process Analyst (Network Infrastructure)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Quberesearchandtechnologies!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Technical Author & Process Analyst (Network Infrastructure) at Quberesearchandtechnologies.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Quberesearchandtechnologies.
✨Apply Directly through Our Website
When you find a suitable opening like Technical Author & Process Analyst (Network Infrastructure) at Quberesearchandtechnologies, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Technical Author & Process Analyst (Network Infrastructure)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Quberesearchandtechnologies, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Quberesearchandtechnologies. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Quberesearchandtechnologies
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Quberesearchandtechnologies!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.