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- Tasks: Transform complex data into clear insights for trading strategies.
- Company: Join a leading global options market maker with a top-notch technical team.
- Benefits: Enjoy a competitive salary, bonuses, and the chance to work remotely.
- Why this job: Make a real impact in a fast-paced trading environment while collaborating with experts.
- Qualifications: Strong SQL skills and a passion for data visualisation are essential.
- 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.
Data Visualisation Engineer - £60k base + bonus employer: Saragossa
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
Brush up on your SQL skills by working on real-world projects or datasets. Being able to showcase your ability to query and manipulate data effectively can set you apart from other candidates.
✨Tip Number 3
Get hands-on experience with PowerBI or similar data visualisation tools. Create a portfolio of your work that highlights your ability to turn complex data into clear, actionable insights, which is crucial for this role.
✨Tip Number 4
Network with professionals in the quantitative trading space. Attend relevant meetups or webinars to connect with industry experts, as personal referrals can significantly boost your chances of landing an interview.
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 SQL and PowerBI, as these are key skills for the position.
Tailor Your CV: Even though an up-to-date CV is not required, it's still beneficial to tailor your CV to highlight relevant experience in data visualisation, SQL querying, and any previous work in quantitative trading or similar fields.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and problem-solving. Mention specific projects or experiences where you've successfully turned complex datasets into actionable insights.
Highlight Collaboration Skills: Since the role involves working closely with traders, analysts, and other stakeholders, emphasise your teamwork and communication skills in your application. Provide examples of how you've collaborated effectively in past roles.
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 will demonstrate your technical proficiency and relevance to the role.
✨Demonstrate Data Visualisation Expertise
Familiarise yourself with PowerBI and be ready to talk about any data visualisation projects you've worked on. Bring examples of how you've turned complex datasets into actionable insights, as this is crucial for the position.
✨Understand the Trading Environment
Research the basics of quantitative trading and automated trading systems. Showing that you have a grasp of the industry will impress interviewers and indicate your genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think of examples from your past experiences where you've tackled challenges, especially those related to data analysis or visualisation.
