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- Tasks: Design data pipelines and innovate data extraction methods for trading and research teams.
- Company: Global investment management firm based in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the financial markets with your data skills.
- Qualifications: Postgraduate degree in a quantitative field and strong Python programming skills.
- Other info: Ideal for those passionate about data and finance, with excellent career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
A global investment management firm located in Greater London is looking for an exceptional Data Scientist. In this role, you will collaborate with the trading, research, and engineering teams to leverage data effectively.
Responsibilities include:
- Designing data pipelines
- Onboarding datasets
- Innovating data extraction methods
Ideal candidates have:
- Over 3 years of experience
- A postgraduate degree in a quantitative field
- Strong programming skills in Python
A keen interest in financial markets is essential for this position.
Data Scientist, Commodities — Data Pipelines & Insights employer: Qube Research & Technologies
Contact Detail:
Qube Research & Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Commodities — Data Pipelines & Insights
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data science sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and insights projects. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding financial markets. Be ready to discuss how you've tackled data challenges in the past and how you can bring value to their team.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Scientist, Commodities — Data Pipelines & Insights
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any relevant experience you have with data pipelines. We want to see how you can leverage your expertise to innovate and extract valuable insights!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect your keen interest in financial markets and how your background aligns with the role. We love seeing candidates who take the time to connect their experience with what we do.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at Qube Research & Technologies
✨Know Your Data Inside Out
Make sure you’re well-versed in the data pipelines and extraction methods relevant to the role. Brush up on your Python skills and be ready to discuss specific projects where you've designed or optimised data processes.
✨Show Your Passion for Financial Markets
Since a keen interest in financial markets is essential, prepare to share your insights on current trends or recent developments. This will demonstrate your enthusiasm and understanding of the industry, which can set you apart from other candidates.
✨Collaborative Mindset
This role involves working closely with trading, research, and engineering teams. Be prepared to discuss how you’ve successfully collaborated in the past, and think of examples that highlight your teamwork and communication skills.
✨Prepare Thoughtful Questions
At the end of the interview, you’ll likely have the chance to ask questions. Prepare thoughtful ones that show your interest in the company’s data strategies and how you can contribute to their goals. This not only shows your engagement but also helps you assess if the company is the right fit for you.
