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- Tasks: Join a top-tier hedge fund as an Investment Data Scientist, driving insights and analytics.
- Company: Work with a prestigious Tier 1 hedge fund in London, focused on equities.
- Benefits: Gain exposure to advanced analytics and machine learning in a dynamic investment environment.
- Why this job: Make a real impact by supporting investment teams and enhancing research processes.
- Qualifications: Must have Python, SQL skills, and experience in investment management and equities.
- Other info: Collaborate directly with portfolio managers and contribute to high-caliber research.
The predicted salary is between 43200 - 72000 £ per year.
One of our tier 1 hedge fund clients are looking to add a Specialist Data Scientist/Analyst to the London office as part of their Equities Fund. You will be working alongside the investment and research teams to generate new insights, drive ML and advanced analytics, and work with the research team towards generating sustained alpha. Directly aligned to 1-2 PMs.
Responsibilities:
- Coordinate with investment teams to comprehend their investment methodologies and leverage data to augment their research processes.
- Support investment teams in identifying key data drivers impacting companies and sectors.
- Analyze data from various sources to validate complex investment hypotheses.
- Efficiently process data, identify critical points, and assess data relevance to investment inquiries.
- Deliver high-caliber research to investment teams in a clear and concise manner.
- Utilize existing and new datasets to develop significant insights and decision support tools for investment teams.
Required Skills:
- Advanced knowledge and experience with Python (Pandas, NumPy + more) and SQL
- Strong background in advanced analytics and statistical modelling
- Strong analytical and quantitative skills
- Experience working with large, unstructured data sets
- Prior experience in the investment management industry, with good knowledge on equities
- Experience with Bloomberg or similar platforms
If you feel this is a good match – apply today!
Selby Jennings | Investment Data Scientist (Analyst) | Tier 1 Hedge Fund | Equities employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Selby Jennings | Investment Data Scientist (Analyst) | Tier 1 Hedge Fund | Equities
✨Tip Number 1
Familiarize yourself with the specific investment methodologies used by hedge funds, especially in equities. Understanding how these methodologies influence data analysis will help you communicate effectively with the investment teams.
✨Tip Number 2
Brush up on your Python and SQL skills, focusing on libraries like Pandas and NumPy. Being able to demonstrate your proficiency in handling large datasets and performing advanced analytics will set you apart from other candidates.
✨Tip Number 3
Gain insights into the tools and platforms commonly used in the investment management industry, such as Bloomberg. Familiarity with these tools can give you an edge when discussing your experience and capabilities during interviews.
✨Tip Number 4
Prepare to discuss real-world examples of how you've used data to drive investment decisions or validate hypotheses. Being able to articulate your past experiences clearly will demonstrate your value to the investment teams.
We think you need these skills to ace Selby Jennings | Investment Data Scientist (Analyst) | Tier 1 Hedge Fund | Equities
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the responsibilities and required skills. Tailor your application to highlight your experience with Python, SQL, and advanced analytics.
Highlight Relevant Experience: In your CV and cover letter, emphasize your background in investment management and any experience you have with equities. Provide specific examples of how you've used data to drive insights or support investment decisions.
Showcase Technical Skills: Clearly outline your proficiency in Python and SQL. Mention any relevant projects or experiences where you utilized these skills, especially in relation to large datasets and statistical modeling.
Craft a Compelling Cover Letter: Write a concise cover letter that connects your skills and experiences to the role. Discuss your passion for data science in the investment sector and how you can contribute to generating sustained alpha for the hedge fund.
How to prepare for a job interview at Selby Jennings
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any advanced analytics tools you've used. Highlight specific projects where you utilized these skills to drive insights or solve complex problems.
✨Understand the Investment Landscape
Familiarize yourself with the equities market and current trends. Be ready to discuss how data can influence investment decisions and provide examples of how you've applied data analysis in a financial context.
✨Communicate Clearly
Since you'll be delivering research to investment teams, practice explaining complex data findings in a clear and concise manner. Use simple language and avoid jargon when possible to ensure your insights are easily understood.
✨Prepare for Behavioral Questions
Expect questions about teamwork and collaboration, especially since you'll be working closely with investment teams. Prepare examples that demonstrate your ability to work effectively in a team and how you've contributed to achieving common goals.
