Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead complex data analysis and modelling to drive insights for investment strategies.
- Company: Global investment management firm committed to diversity and work-life balance.
- Benefits: Full-time role with a focus on work-life balance and professional growth.
- Why this job: Make a real impact in asset management through advanced analytics and collaboration.
- Qualifications: Strong communication, project management skills, and experience in Python and SQL.
- Other info: Join a dynamic team in a supportive and inclusive environment.
The predicted salary is between 43200 - 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 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
✨Tip Number 1
Network like a pro! Reach out to professionals in the asset management field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python and SQL. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex statistical concepts in simple terms, as this is key when collaborating with business leaders.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about making connections and finding the right fit, so submitting your application directly helps us see your enthusiasm for the role.
We think you need these skills to ace Lead Data Scientist - Asset Management Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and statistical programming, especially with Python and SQL. We want to see how your skills align with the role of Lead Data Scientist, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about asset management analytics and how your leadership skills can drive insights for our business leaders. Keep it engaging and personal – we love to see your personality!
Showcase Your Communication Skills: Since this role involves collaboration with various stakeholders, make sure to highlight your communication skills in your application. We want to know how you’ve effectively conveyed complex data insights in the past, so share some examples!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from 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 talk about 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. Prepare to discuss specific projects where you used these languages to solve problems or improve processes. This will show that you have the technical expertise needed for the position.
