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- Tasks: Design and build data pipelines for trading data and develop machine learning models.
- Company: Global financial services organisation with a focus on innovation.
- Benefits: £750 per day, flexible four-day work week in the office.
- Why this job: Join a dynamic team and make an impact in real-time trading analytics.
- Qualifications: Strong programming skills in Python and SQL, with data science experience.
- Other info: Exciting 6-month contract based in Liverpool Street.
The predicted salary is between 120000 - 180000 £ per year.
A global financial services organization is seeking a skilled Data Engineer to design and build data pipelines for trading data. This role involves developing machine learning models for trade flow prediction and creating analytics tools for trading desks.
The ideal candidate has strong programming skills in Python and SQL, with experience in data science and a background in data engineering.
This is a 6-month contract based in Liverpool Street, offering £750 per day, four days a week in the office.
Data Scientist - Fixed Income Trading & Real-Time ML employer: Michael Page (UK)
Contact Detail:
Michael Page (UK) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Fixed Income Trading & Real-Time ML
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or attend local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and analytics tools. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your past projects and how you've tackled challenges in data engineering. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Scientist - Fixed Income Trading & Real-Time ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python and SQL, as well as any relevant experience in data science and engineering. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your skills can contribute to our trading data projects. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool projects related to machine learning or data pipelines, make sure to mention them! We’re keen to see real-world applications of your skills, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Michael Page (UK)
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering and machine learning. Brush up on your Python and SQL skills, and be ready to discuss how you've used them in past projects, especially in trading contexts.
✨Prepare for Technical Questions
Expect to face technical questions that test your understanding of data pipelines and model development. Practice explaining your thought process clearly and concisely, as this will showcase your problem-solving abilities.
✨Showcase Relevant Experience
Be prepared to share examples from your previous work that highlight your experience with trade flow prediction and analytics tools. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company’s approach to data science in trading. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
