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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: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Work closely with researchers and quant teams in a fast-paced, innovative setting.
- Why this job: Join a team solving complex challenges and making impactful decisions in finance.
- Qualifications: Strong Python skills, knowledge of financial asset classes, and experience with data libraries.
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.
Senior Data Engineer - Data Quality employer: NJF Global Holdings Ltd
Contact Detail:
NJF Global Holdings Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Data Quality
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in quantitative finance or data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data pipelines or market data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of financial asset classes and tick data. Practice coding challenges in Python and be ready to discuss how you've tackled data quality issues in past projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and helps us get to know you better.
We think you need these skills to ace Senior Data Engineer - Data Quality
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your Python expertise and any experience with financial asset classes to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data quality and how your background makes you a great fit for our team. Be specific about your experience with tick data and data pipelines.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them! We love seeing practical examples of your skills in action, especially with data libraries and Python.
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. Plus, it’s super easy!
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 about specific examples where you've solved complex data quality issues.
✨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 coding challenges beforehand to boost your confidence!
✨Collaborate Like a Pro
This role involves working closely with researchers and quantitative developers, so highlight your teamwork experience. Think of examples where you've successfully collaborated on projects, especially those that required a scientific approach to problem-solving.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines and data quality frameworks. Review common challenges in building and maintaining these systems, and be ready to discuss how you would design and monitor robust solutions. This will show your depth of understanding and readiness for the role.