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- Tasks: Analyze alternative data to drive equity valuations and build insightful models.
- Company: Join a world-famous hedge fund known for its prestige and innovation.
- Benefits: Enjoy market-leading compensation and excellent career progression opportunities.
- Why this job: Work with cutting-edge data science in a dynamic environment that values creativity and communication.
- Qualifications: 5+ years in institutional finance with a strong background in math or statistics required.
- Other info: Ideal for creative thinkers who excel in data analysis and quantitative research.
The predicted salary is between 43200 - 72000 £ per year.
Equity Research Analyst (Alternative Data specialism)
Hedge Fund
London
Our client, a world-famous Hedge Fund, is looking for an early / mid-career Equity Research Analyst with superb data analysis and quantitative research skills.
You will be working with Alternative Data and Third-Party Datasets to extract insights and build models that help to drive Equity valuations for Equity L/S investment teams.
Crucially, you must combine excellent data science skills (Python, Pandas, SQL) with rigorous quantitative analysis skills.
This is a unique opportunity at one of the world's most prestigious hedge funds, with market-leading compensation and progression opportunities.
About you
- 5+ yrs' experience in institutional finance
- Equities specialist (open to systematic / quantamental / discretionary approach)
- Academic background in maths / statistics or related disciplines
- Creative thinker with excellent communication skills
Equity Research Analyst (Alternative Data specialism) employer: Upward Trend
Contact Detail:
Upward Trend Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equity Research Analyst (Alternative Data specialism)
✨Tip Number 1
Make sure to showcase your experience with alternative data in your conversations. Highlight specific projects where you've successfully utilized alternative datasets to drive equity valuations.
✨Tip Number 2
Brush up on your Python, Pandas, and SQL skills. Be prepared to discuss how you've applied these tools in your previous roles, as technical proficiency is crucial for this position.
✨Tip Number 3
Demonstrate your quantitative analysis skills through real-world examples. Prepare to explain your thought process and the methodologies you used in past analyses.
✨Tip Number 4
Network with professionals in the hedge fund industry. Attend relevant events or webinars to connect with people who can provide insights into the company culture and expectations.
We think you need these skills to ace Equity Research Analyst (Alternative Data specialism)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 5+ years of experience in institutional finance. Detail your specific roles and responsibilities, especially those related to equity research and data analysis.
Showcase Technical Skills: Clearly outline your proficiency in Python, Pandas, and SQL. Provide examples of how you've used these tools in previous roles to analyze data or build models.
Demonstrate Quantitative Analysis Abilities: Include specific instances where you applied rigorous quantitative analysis to drive investment decisions. This could involve discussing methodologies or results from past projects.
Communicate Effectively: Since excellent communication skills are crucial, ensure your application is well-structured and free of jargon. Use clear language to convey your ideas and experiences.
How to prepare for a job interview at Upward Trend
✨Showcase Your Data Skills
Make sure to highlight your proficiency in Python, Pandas, and SQL during the interview. Prepare examples of how you've used these tools in past projects to analyze data and extract insights.
✨Demonstrate Quantitative Analysis Expertise
Be ready to discuss your experience with quantitative analysis. Bring specific examples of models you've built or analyses you've conducted that have influenced investment decisions.
✨Communicate Clearly
Since excellent communication skills are crucial, practice explaining complex data findings in a clear and concise manner. This will show that you can effectively convey insights to both technical and non-technical stakeholders.
✨Prepare for Creative Problem-Solving Questions
Expect questions that assess your creative thinking abilities. Think of scenarios where you've had to approach a problem from a unique angle or develop an innovative solution using alternative data.
