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- Tasks: Shape investment strategies by analysing data and building predictive models.
- Company: Dynamic financial services firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on investment decisions using cutting-edge data science techniques.
- Qualifications: 2-6 years in analytics or machine learning, strong Python and SQL skills.
- Other info: Join a forward-thinking team and enhance your data science expertise.
The predicted salary is between 43200 - 72000 £ per year.
A financial services firm in Greater London is looking for an experienced Data Scientist to shape its data-driven investment strategy. The role involves originating and analyzing novel datasets, building predictive models, and designing real-time dashboards.
Ideal candidates have:
- 2-6 years of experience in advanced analytics or machine learning
- Strong Python and SQL skills
- Proficiency with BI tools
This position offers the chance to influence investment decisions and expand the firm's data science capability.
Data Scientist - Hedge Fund: Data-Driven Investment Insights in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Hedge Fund: Data-Driven Investment Insights in London
✨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 predictive models and dashboards. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨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 used data to drive investment insights. 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 show your enthusiasm for joining our team.
We think you need these skills to ace Data Scientist - Hedge Fund: Data-Driven Investment Insights in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in advanced analytics and machine learning. We want to see how your skills in Python, SQL, and BI tools can contribute to our data-driven investment strategy.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data science and how you can influence investment decisions. Be specific about your past experiences and how they relate to the role.
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Share examples of predictive models or dashboards you've built. We love seeing real-world applications of your skills that align with our needs.
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 this exciting opportunity in shaping our data science capability.
How to prepare for a job interview at Jobster
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to the role. Brush up on your experience with novel datasets and be ready to discuss how you've used them in past projects. This will show your potential employer that you can hit the ground running.
✨Showcase Your Predictive Modelling Skills
Prepare to talk about specific predictive models you've built. Be ready to explain the methodologies you used, the challenges you faced, and the outcomes of your models. This will demonstrate your hands-on experience and analytical thinking.
✨Demonstrate Your Technical Proficiency
Since strong Python and SQL skills are a must, be prepared to answer technical questions or even solve coding problems during the interview. Practising common algorithms and SQL queries can give you an edge and show that you’re technically savvy.
✨Familiarise Yourself with BI Tools
Research the BI tools commonly used in the industry and be ready to discuss your experience with them. If you’ve designed dashboards before, bring examples to the table. This will highlight your ability to translate data into actionable insights.
