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- 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 employer: NJF Global Holdings Ltd
Contact Detail:
NJF Global Holdings Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - SQL - Remote
✨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 dream job.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss how you've tackled data challenges in the past. We want to see your problem-solving skills in action!
✨Tip Number 3
Showcase your projects! If you've built any data pipelines or worked with tick data, make sure to highlight these experiences. We love seeing real-world applications of your skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to join our tech-driven team.
We think you need these skills to ace Data Engineer - SQL - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python expertise and any experience with financial data, as these are key for us at StudySmarter.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Be specific about your experience with tick data and any relevant projects you've worked on.
Showcase Your Technical Skills: Don’t shy away from detailing your technical skills in your application. Mention your proficiency in Python and any experience with C++ or data libraries, as these will catch our eye when reviewing applications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
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, and think of specific examples where you've successfully unlocked insights or solved complex problems.
✨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 data libraries in previous projects. Practise common data manipulation tasks and be familiar with relevant libraries like Pandas and NumPy.
✨Understand Their Tech Stack
Research the technologies and tools that the firm uses. Familiarise yourself with their data pipelines and any specific frameworks they might employ. This shows that you're not just interested in the role but also invested in understanding how you can contribute to their existing systems.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about their approach to data quality frameworks or how they collaborate with research teams. This not only demonstrates your interest in the role but also gives you a better understanding of their work culture and expectations.