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- Tasks: Transform complex data into clear insights for trading strategies.
- Company: Join a leading global options market maker with a tech-savvy team.
- Benefits: Enjoy a competitive salary, bonuses, and a collaborative work culture.
- Why this job: Make a real impact in a fast-paced trading environment while honing your data skills.
- Qualifications: Proficiency in SQL and PowerBI is essential; passion for data is a must.
- Other info: No up-to-date CV required to apply!
The predicted salary is between 43200 - 84000 £ per year.
Interested in entering the world of quantitative trading and learn all about automated trading systems? This is an opportunity to become a Data Visualisation Engineer as part of a highly technical data team that’s filled with bright and technically strong engineers, in a leading global options market maker.
You can be responsible for building and maintaining core platforms and have the unique chance to work closely with traders, analysts, data engineers, and other stakeholders to turn complex datasets into clear, actionable insights that support data-driven strategies and decision-making across the business.
Leverage your SQL skillset for querying, data modelling and building databases as well as PowerBI for data visualisation projects. If you are passionate about data, excited by problem-solving, and looking to make a tangible impact in a high-performance trading environment, we invite you to apply and become part of this firm's journey. No up-to-date CV required.
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Visualisation Engineer - £60k base + bonus
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and data visualisation. Understanding the industry landscape will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the field of data visualisation and quantitative trading. Attend relevant meetups or webinars to connect with potential colleagues and gain insights into the skills and tools that are currently in demand.
✨Tip Number 3
Brush up on your SQL and PowerBI skills by working on personal projects or contributing to open-source initiatives. Having hands-on experience will give you a competitive edge and show your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss specific examples of how you've turned complex data into actionable insights in past roles. Being able to articulate your problem-solving process will impress interviewers and highlight your suitability for the position.
We think you need these skills to ace Data Visualisation Engineer - £60k base + bonus
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Visualisation Engineer. Familiarise yourself with the tools mentioned in the job description, such as SQL and PowerBI, and think about how your skills align with these requirements.
Tailor Your CV: Even though an up-to-date CV is not required, it’s still a good idea to have one ready. Highlight your experience with data visualisation, SQL, and any relevant projects that demonstrate your problem-solving skills. Make sure to emphasise your ability to work collaboratively with traders and analysts.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and quantitative trading. Explain why you are excited about this opportunity and how you can contribute to the team. Use specific examples from your past experiences to illustrate your points.
Follow Up: After submitting your application, consider following up with a polite email expressing your continued interest in the position. This shows initiative and can help keep your application top of mind for the hiring team.
How to prepare for a job interview at Saragossa
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. Highlight specific projects where you've used SQL for querying and data modelling, as this is crucial for the role.
✨Demonstrate Data Visualisation Expertise
Familiarise yourself with PowerBI and be ready to talk about your previous data visualisation projects. Bring examples of how your visualisations have helped stakeholders make informed decisions.
✨Understand the Trading Environment
Research the basics of quantitative trading and automated trading systems. Showing an understanding of the trading environment will demonstrate your enthusiasm and readiness to contribute.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios during the interview. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to tackle complex datasets.
