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For Companies At a Glance
- Tasks: Analyse investment data and build tools for decision-making in asset management.
- Company: Major financial services corporation with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make a meaningful impact while collaborating with top investment and data science professionals.
- Qualifications: Strong analytical skills, proficiency in Python and SQL, and an advanced degree.
- Other info: Join a dynamic team and enhance your career in the finance sector.
The predicted salary is between 43200 - 72000 £ per year.
A major financial services corporation is seeking a Senior Data Scientist to join their Asset Management Data Science team. The candidate will collaborate with investment and data science professionals to source and analyze investment data.
Responsibilities include:
- Building tools to assist in decision attribution
- Working alongside portfolio managers
Ideal candidates should have:
- A strong analytical background
- Proficiency in Python and SQL
- A relevant advanced degree
The role offers the opportunity to work in a dynamic environment and make a meaningful impact.
Senior Data Scientist - Asset Management Insights in City of Westminster employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Asset Management Insights in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to professionals in the asset management field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Senior Data Scientist role.
✨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 bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies related to asset management. We recommend practising with friends or using mock interview platforms to build your confidence.
✨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 Senior Data Scientist - Asset Management Insights in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with Python and SQL. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about asset management and how your expertise can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex data challenges in the past. We’re looking for candidates who can think critically and provide innovative solutions, so let us know how you’ve done this before!
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’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Inside Out
Make sure you’re well-versed in the investment data relevant to the role. Brush up on your analytical skills and be ready to discuss how you’ve used Python and SQL in past projects. Being able to demonstrate your technical expertise will show that you’re the right fit for their team.
✨Showcase Your Collaboration Skills
Since this role involves working closely with investment and data science professionals, prepare examples of how you’ve successfully collaborated in the past. Highlight any experiences where you’ve worked alongside portfolio managers or contributed to team projects, as this will illustrate your ability to thrive in a dynamic environment.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on key concepts in data science, especially those related to asset management. Practise coding challenges in Python and SQL, as they might ask you to solve problems on the spot. This will help you feel more confident and ready to impress.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the tools they use for decision attribution or how the data science team collaborates with portfolio managers. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
