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- Tasks: Transform complex data into clear insights for trading strategies.
- Company: Join Saragossa, a leading global options market maker.
- Benefits: Enjoy a competitive salary, bonuses, and a dynamic work environment.
- Why this job: Make a real impact in quantitative trading while collaborating with top engineers.
- Qualifications: Strong SQL skills and a passion for data visualisation required.
- Other info: EU work permit needed; perfect for tech-savvy problem solvers.
The predicted salary is between 43200 - 72000 £ per year.
Interested in entering the world of quantitative trading and learning all about automated trading systems? This is an opportunity to become a Data Visualisation Engineer as part of a highly technical data team filled with bright and technically strong engineers, in a leading global options market maker.
You will 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 skills 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.
Data Visualisation Engineer - £60k base + bonus employer: JR United Kingdom
Contact Detail:
JR United Kingdom 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 data visualisation and quantitative trading. Understanding the tools and technologies that are currently in demand, such as PowerBI and SQL, will give you an edge during discussions with the hiring team.
✨Tip Number 2
Network with professionals in the field of data visualisation and quantitative trading. Attend industry meetups or webinars to connect with potential colleagues and gain insights into the company culture at Saragossa.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully turned complex datasets into actionable insights. Be ready to share your thought process and the impact your work had on decision-making in previous roles.
✨Tip Number 4
Showcase your problem-solving skills by preparing examples of challenges you've faced in data visualisation. Highlight how you approached these challenges and the innovative solutions you implemented to overcome them.
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 crucial for the role.
Tailor Your CV: Highlight your relevant experience in data visualisation and quantitative trading. Use specific examples that demonstrate your skills in SQL and PowerBI, and how you've turned complex datasets into actionable insights.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and problem-solving. Mention why you're excited about the opportunity to work closely with traders and analysts, and how you can contribute to the team's success.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter. Check for any spelling or grammatical errors, and ensure that all information is accurate and well-presented.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. Expect questions that test your ability to query and model data effectively. Bring examples of past projects where you used SQL to solve complex problems.
✨Demonstrate Data Visualisation Expertise
Familiarise yourself with PowerBI and be ready to showcase your previous visualisation projects. Discuss how you transformed complex datasets into actionable insights, as this will be crucial for the role.
✨Understand the Trading Environment
Research the basics of quantitative trading and automated trading systems. Showing a genuine interest in the trading environment will impress the interviewers and demonstrate your commitment to the role.
✨Prepare for Technical Questions
Expect technical questions related to data engineering and visualisation. Brush up on relevant concepts and be ready to solve problems on the spot, as this will reflect your analytical skills and problem-solving abilities.
