Data Engineer, Trading Operations & Automation

Data Engineer, Trading Operations & Automation

Full-Time 35000 - 45000 £ / year (est.) No working from home possible
WEBB Traders

At a Glance

  • Tasks: Manage trade processes and enhance workflows in a fast-paced trading environment.
  • Company: Join WEBB Traders, a rapidly growing proprietary trading firm in Greater London.
  • Benefits: Enjoy a competitive salary, bonuses, and excellent benefits.
  • Other info: Great opportunities for career growth in an exciting industry.
  • Why this job: Be part of a dynamic team and make a real impact in trading operations.
  • Qualifications: 3-6 years of experience with strong Python and SQL skills required.

The predicted salary is between 35000 - 45000 £ per year.

WEBB Traders, a fast-growing proprietary trading company in Greater London, is seeking a Data Engineer Operations. In this role, you'll manage trade lifecycle processes, ensure stability during market hours, and collaborate across teams to improve workflows.

With 3 to 6 years of relevant experience, strong Python and SQL skills are essential. You will be joining a dynamic environment that offers growth opportunities and a competitive reward package including benefits and bonus schemes.

Data Engineer, Trading Operations & Automation employer: WEBB Traders

WEBB Traders is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those looking to thrive in the fast-paced world of proprietary trading. With a strong emphasis on employee growth, you will have access to numerous development opportunities alongside a competitive rewards package, including benefits and bonus schemes, all set in the vibrant atmosphere of Greater London.

WEBB Traders

Contact Details:

WEBB Traders Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer, Trading Operations & Automation

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Apply Directly through Our Website

When you find a suitable opening like Data Engineer, Trading Operations & Automation at WEBB Traders, 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 Data Engineer, Trading Operations & Automation

Python
SQL
Trade Lifecycle Management
Workflow Improvement
Collaboration Skills
Market Stability Management
Data Engineering

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!

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Craft a Tailored Cover Letter:For a full-time role at WEBB Traders, 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 WEBB Traders. 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 WEBB Traders

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!

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Get Comfortable with Python and R

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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.