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- Tasks: Join a dynamic team to support automated trading systems and collaborate on data-driven projects.
- Company: Be part of a top algorithmic trading firm known for innovation and cutting-edge technology.
- Benefits: Enjoy a market-leading salary, bonuses, and flexible remote work options.
- Why this job: Work in a flat management culture with significant impact on trading processes and technology.
- Qualifications: 2+ years in data engineering or a relevant degree; Python and SQL experience preferred.
- Other info: Ideal for self-starters passionate about data and problem-solving in finance.
The predicted salary is between 43200 - 72000 £ per year.
This is one of the world's top algorithmic trading firms, looking for a Data Engineer to join their London team - ideally with Python experience. A community of self-starters from multiple tech backgrounds - maths, computer science, statistics, physics, engineering - they have built one of the world's most sophisticated computing environments for research and development with data at its core.
This role offers the opportunity to be a critical part of the trading process where you'll work side by side with live trading teams to support one of the largest automated trading systems in the world. You'll be tasked with writing automation, exploring data, collaborating with research and trading colleagues and liaising with a variety of external partners. You'll also acquire, analyse and prepare data for quantitative research.
If you eat, sleep and breathe data, and can solve complex problems quickly, this role would be perfect for you!
Requirements- Previous experience in financial markets or working for a financial institution
- 2+ years' data engineering experience OR a Computer Science degree (or similar)
- Solid experience in at least one of: PostgreSQL, MSSQL, MYSQL, and comfortable using other SQL dialects as the job requires
- Experience with Python would be hugely advantageous
- Familiarity with the Linux command line
- Able to provide technical support in a production trading environment
- ETL pipelines experience is beneficial
- Track record of working successfully in a collaborative/cross-team environment
- Market-leading salary + bonuses + generous benefits package
- Huge flexibility on remote / work-from-home
- Truly flat management structure, with no red tape
- Friendly, informal yet highly rewarding work culture
- Work with the latest technologies on complex problems with significant impact
If you think you are a strong candidate for the role and would like further info, please contact: Tom Brown tom.brown@oxfordknight.co.uk +44 (0)20 4576 5966 linkedin.com/in/thomas-brown-196a29103
Data Engineer- World-Leading Innovative Algo Trading Firm - Oxford Knight employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
tom.brown@oxfordknight.co.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer- World-Leading Innovative Algo Trading Firm - Oxford Knight
✨Tip Number 1
Familiarise yourself with the latest trends in algorithmic trading and data engineering. Understanding the specific technologies and methodologies used in this field will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the financial markets and data engineering sectors. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture at Oxford Knight.
✨Tip Number 3
Brush up on your Python skills, especially in relation to data manipulation and automation. Consider working on personal projects or contributing to open-source projects that showcase your ability to solve complex problems with data.
✨Tip Number 4
Prepare to discuss your experience with SQL databases and ETL pipelines in detail. Be ready to provide examples of how you've successfully collaborated in cross-team environments, as teamwork is crucial in this role.
We think you need these skills to ace Data Engineer- World-Leading Innovative Algo Trading Firm - Oxford Knight
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Python and SQL. Emphasise any previous roles in financial markets or institutions, as this is a key requirement for the position.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and problem-solving. Mention specific projects or experiences that demonstrate your ability to work collaboratively in a fast-paced environment, as well as your familiarity with ETL pipelines.
Highlight Technical Skills: Clearly list your technical skills, especially your proficiency in PostgreSQL, MSSQL, MYSQL, and Python. If you have experience with the Linux command line, make sure to include that as well, as it’s beneficial for the role.
Showcase Collaborative Experience: Provide examples of how you've successfully worked in a collaborative or cross-team environment. This could be through specific projects or initiatives where teamwork was essential to achieving results.
How to prepare for a job interview at Jobs via eFinancialCareers
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and SQL during the interview. Be prepared to discuss specific projects where you've used these skills, as well as any challenges you faced and how you overcame them.
✨Understand the Financial Markets
Since this role is within a financial institution, having a solid understanding of financial markets will set you apart. Brush up on key concepts and be ready to discuss how data engineering plays a role in trading strategies.
✨Demonstrate Collaboration Experience
This position requires working closely with various teams. Share examples from your past roles where you successfully collaborated with others, especially in high-pressure environments, to achieve common goals.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions that assess your analytical skills. Practice explaining your thought process clearly and concisely, as this will demonstrate your ability to tackle complex issues effectively.
