At a Glance
- Tasks: Unlock insights from high-frequency market data and build robust data pipelines.
- Company: Global quantitative investment firm with a tech-driven, collaborative culture.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and data quality.
- Why this job: Join a team solving complex challenges and making an impact in finance.
- Qualifications: Strong Python skills and knowledge of financial asset classes required.
The predicted salary is between 60000 - 80000 £ per year.
Our client is a global quantitative and systematic investment firm operating across all liquid asset classes worldwide. The organisation is highly technology- and data-driven, applying a scientific approach to investing. By combining data, research, technology, and trading expertise, the firm fosters a collaborative environment focused on solving complex technical and quantitative challenges and delivering consistent, high-quality returns.
You will work closely with researchers and quantitative developers to unlock insights from high-frequency market data and help power large-scale research and trading workflows.
- Partnering with research and quant teams to deliver insights from tick-by-tick market data
- Serving high-quality data to large-scale backtesting and research platforms
- Building and maintaining tick data pipelines in Python to enable fast, reliable access across asset classes
- Designing, implementing, and monitoring robust data quality frameworks across all pipelines
Strong knowledge of multiple financial asset classes. Deep understanding of Level 2 and Level 3 tick-by-tick data. Strong Python skills with experience using data libraries; C++ is a plus.
Data Engineer - SQL - Remote in London employer: NJF Global Holdings Ltd
As a leading global quantitative investment firm, we pride ourselves on being an exceptional employer that champions innovation and collaboration. Our remote work culture empowers Data Engineers to thrive in a flexible environment while contributing to cutting-edge projects that drive financial insights. With a strong focus on employee growth, we offer continuous learning opportunities and the chance to work alongside top-tier researchers and developers in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - SQL - Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data pipelines. We want to see how you tackle real-world problems, so make sure to highlight your best work.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data Engineer - SQL - Remote in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and any relevant financial asset knowledge. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any projects involving tick data or data pipelines, make sure to mention them! We’re keen to see real examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at NJF Global Holdings Ltd
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of financial asset classes and tick-by-tick data. Be prepared to discuss how you've worked with this type of data in the past, as well as any specific challenges you've faced and how you overcame them.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, be ready to demonstrate your expertise. You might be asked to solve a coding problem or explain how you've used Python libraries in your previous projects. Practise common data manipulation tasks to showcase your abilities.
✨Understand the Company’s Approach
Research the firm’s investment strategies and their use of technology in trading. Understanding their scientific approach to investing will help you align your answers with their values and show that you're genuinely interested in the role.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines and data quality frameworks. Think about how you would design and monitor these systems. Being able to articulate your thought process clearly will impress the interviewers and demonstrate your problem-solving skills.
