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- Tasks: Lead complex data analysis and modelling to drive insights for investment strategies.
- Company: Global investment management firm based in Greater London.
- Benefits: Full-time role with a focus on work-life balance and diversity.
- Why this job: Join a dynamic team and make impactful decisions in asset management analytics.
- Qualifications: Strong communication, project management, and expertise in Python and SQL required.
- Other info: Opportunity to lead in a collaborative and innovative environment.
The predicted salary is between 48000 - 72000 £ per year.
A global investment management firm in Greater London is seeking a leader in analytics to manage complex modeling and data analysis. The role involves collaborating with business leaders to provide insights through advanced statistical methods and managing large datasets.
Candidates should possess strong communication skills and experience in project management and statistical programming, particularly in Python and SQL.
This position offers full-time employment with a commitment to work-life balance and diversity in the workplace.
Lead Data Scientist - Asset Management Analytics in London employer: Threadneedle group
Contact Detail:
Threadneedle group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Asset Management Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the asset management field on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your past projects. We recommend practising common data science interview questions to boost your confidence.
✨Tip Number 3
Showcase your work! Create a portfolio of your data analysis projects and share it during interviews. This will help you stand out and demonstrate your hands-on experience with complex modeling.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Scientist - Asset Management Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and project management. We want to see how your skills in Python and SQL can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Lead Data Scientist role. Share specific examples of how you've collaborated with business leaders and provided insights through advanced statistical methods.
Show Off Your Communication Skills: Since strong communication is key for this role, make sure your application reflects that. Use clear and concise language, and don’t forget to explain complex concepts in a way that’s easy to understand.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Threadneedle group
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to asset management analytics. Brush up on your statistical methods and be ready to discuss how you've applied them in past projects. This will show that you can handle complex modelling and data analysis effectively.
✨Showcase Your Communication Skills
Since collaboration with business leaders is key, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated insights from data analysis to non-technical stakeholders. This will demonstrate your ability to bridge the gap between data and decision-making.
✨Demonstrate Project Management Experience
Be ready to discuss your experience managing projects, especially those involving large datasets. Highlight specific challenges you faced and how you overcame them. This will illustrate your leadership capabilities and your ability to deliver results under pressure.
✨Brush Up on Python and SQL
Since strong programming skills are essential for this role, review your knowledge of Python and SQL. Be prepared to answer technical questions or even solve problems on the spot. Showing confidence in your coding abilities will set you apart from other candidates.
