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For Companies At a Glance
- Tasks: Generate data-driven insights and collaborate with equity PMs and analysts.
- Company: Dynamic multi-strategy fund based in London.
- Benefits: Competitive salary, hands-on experience, and strong support from quant teams.
- Other info: Fast-paced environment with opportunities for growth and direct stakeholder interaction.
- Why this job: Make a real impact on investment strategies using cutting-edge 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 current employees at the fund or similar firms on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those interviews by brushing up on your Python and SQL skills. We want to be ready to showcase our analytical prowess and how we can generate data-driven insights that align with their needs.
✨Tip Number 3
Showcase our communication skills! Practice explaining complex data concepts in simple terms. This will help us connect better with PMs and analysts during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our approach based on what we learn from the job description.
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.
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 get back to you quicker!
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 those relevant to equity research. Be ready to discuss how you've applied Python and SQL in past projects, and think of specific examples where your analysis led to actionable insights.
✨Understand the Role of PMs and Analysts
Since you'll be working closely with portfolio managers and analysts, it’s crucial to understand their perspectives. Research their investment strategies and be prepared to discuss how your data-driven insights can support their decision-making process.
✨Show Off Your Communication Skills
Strong communication is key in this role. Practice explaining complex data concepts in simple terms, as you’ll need to convey your findings to non-technical stakeholders. Think about how you can demonstrate your ability to collaborate effectively with different teams.
✨Prepare for Fast-Paced Scenarios
This role operates in a fast-paced environment, so be ready to showcase your adaptability. Prepare examples of how you've successfully managed multiple projects or tight deadlines in the past, and highlight your problem-solving skills under pressure.