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For Companies At a Glance
- Tasks: Generate data-driven insights for equity research and collaborate with PMs and analysts.
- Company: Dynamic multi-strategy fund based in London.
- Benefits: Competitive salary, hands-on experience, and opportunities for growth.
- Other info: Fast-paced environment with meaningful ownership and local support from expert teams.
- Why this job: Make a real impact in investment decisions using data science techniques.
- Qualifications: Bachelor's degree in a quantitative field and strong programming skills in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
You will partner directly with equity PMs and analysts to apply data science techniques to fundamental research. The role blends hands-on analysis with strong stakeholder interaction and offers meaningful ownership, while benefiting from local support from quant development and engineering teams.
Key Responsibilities
- Generate data‑driven insights to support equity fundamental research across companies and sectors.
- Work closely with PMs, analysts, alternative data, data engineering, and data sourcing teams to evaluate and apply new datasets.
- Estimate and project key company and sector KPIs, test hypotheses, and build screeners to support idea generation.
- Develop data‑driven variables that integrate directly into fundamental valuation and research models.
- Assess the relevance and quality of new datasets and design custom dashboards, tools, or features for the research desk.
- Run targeted analytical studies to validate or challenge specific investment ideas.
Requirements
- Bachelor's degree in a quantitative or related field.
- Strong programming skills in Python and SQL.
- Experience analysing complex datasets; exposure to alternative data is a plus.
- Background in or close alignment with fundamental equity analysis preferred.
- Strong communication skills and comfort working directly with multiple PMs.
- Able to operate effectively in a fast‑paced, multi‑strategy investment environment.
If you feel this role is a good fit apply today!
Equity Data Scientist | Multi Strategy Fund | London employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equity Data Scientist | Multi Strategy Fund | London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in equity research or data science. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Prepare 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 the table.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on common data science questions and case studies. The more prepared you are, the more confident you'll feel when discussing your experience.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the initiative. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Equity Data Scientist | Multi Strategy Fund | London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of an Equity Data Scientist. Highlight your programming skills in Python and SQL, and any experience you have with complex datasets or fundamental equity analysis.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and equity research. Share specific examples of how you've used data-driven insights in previous roles, and how you can bring that expertise to our team.
Showcase Your Communication Skills: Since this role involves working closely with PMs and analysts, it's crucial to demonstrate your strong communication skills. Mention any experiences where you've successfully collaborated with stakeholders or presented complex data findings in an understandable way.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Selby Jennings
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques, especially in Python and SQL. Be ready to discuss how you've applied these skills in past projects, particularly in relation to equity analysis or working with complex datasets.
✨Understand the Role of PMs and Analysts
Familiarise yourself with the roles of portfolio managers (PMs) and analysts in a multi-strategy fund. Think about how your insights can support their decision-making processes and be prepared to share examples of how you've collaborated with stakeholders in the past.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your analytical methods and how you validate investment ideas. You might also want to prepare a few case studies or examples that showcase your ability to generate data-driven insights.
✨Show Off Your Communication Skills
Since this role involves strong stakeholder interaction, be ready to demonstrate your communication skills. Think of ways to explain complex data concepts in simple terms and be prepared to discuss how you’ve effectively communicated findings to non-technical team members.