Equities Data Scientist: ML-Driven Investment Insights
Equities Data Scientist: ML-Driven Investment Insights

Equities Data Scientist: ML-Driven Investment Insights

Full-Time 43200 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Partner with Portfolio Managers to enhance research frameworks using data-driven insights.
  • Company: Leading global hedge fund based in London.
  • Benefits: Competitive salary, dynamic work environment, and impactful projects.
  • Why this job: Make a lasting impact on investment decisions with your analytical skills.
  • Qualifications: Proficiency in Python and SQL, strong analytical skills, and passion for equities.
  • Other info: Opportunity to work with large datasets and translate complex findings into actionable insights.

The predicted salary is between 43200 - 72000 Β£ per year.

A leading global hedge fund is looking for an experienced Investment Data Scientist/Analyst in London. This role involves partnering closely with Portfolio Managers and enhancing their research frameworks with data-driven insights.

Candidates should excel in Python and SQL, possess strong analytical skills, and have a passion for equities. The position offers the opportunity to work on large datasets and translate complex findings into actionable insights for investment decisions.

Join us to make a lasting impact on the investment process.

Equities Data Scientist: ML-Driven Investment Insights employer: Selby Jennings

As a leading global hedge fund based in London, we pride ourselves on fostering a dynamic and collaborative work culture that empowers our employees to thrive. With a strong emphasis on professional development, we offer extensive growth opportunities and the chance to work alongside industry experts, utilising cutting-edge technology to drive impactful investment insights. Join us to be part of a forward-thinking team where your contributions will directly influence our investment strategies and success.
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Contact Detail:

Selby Jennings Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Equities Data Scientist: ML-Driven Investment Insights

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those working at hedge funds. A friendly chat can lead to insider info about job openings and even referrals.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Python and SQL projects. This is your chance to demonstrate how you can turn data into actionable insights, just like the role requires.

✨Tip Number 3

Prepare for interviews by brushing up on your analytical skills. Be ready to discuss how you've tackled large datasets and translated complex findings into investment strategies. Practice makes perfect!

✨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 Equities Data Scientist: ML-Driven Investment Insights

Python
SQL
Analytical Skills
Data-Driven Insights
Equities Knowledge
Large Dataset Management
Actionable Insights Translation
Collaboration with Portfolio Managers

Some tips for your application 🫑

Show Your Passion for Equities: When writing your application, let your enthusiasm for equities shine through! Share any relevant experiences or projects that highlight your interest and expertise in this area. We want to see how you can bring that passion to our team.

Highlight Your Technical Skills: Make sure to showcase your proficiency in Python and SQL clearly in your application. We’re looking for candidates who can handle large datasets and translate complex data into actionable insights, so don’t hold back on detailing your technical prowess!

Tailor Your Application: Take the time to customise your application for this specific role. Mention how your skills align with the job description and how you can contribute to enhancing research frameworks. We appreciate candidates who take the extra step to connect their experience with our needs.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!

How to prepare for a job interview at Selby Jennings

✨Know Your Data Inside Out

Make sure you’re well-versed in the datasets relevant to equities. Brush up on your Python and SQL skills, and be ready to discuss how you've used them to derive insights from large datasets in the past.

✨Understand the Investment Landscape

Familiarise yourself with current trends in the equities market. Be prepared to discuss how data-driven insights can enhance investment strategies and support Portfolio Managers in their decision-making process.

✨Prepare for Technical Questions

Expect technical questions that test your analytical skills. Practice explaining complex findings in a simple way, as you'll need to translate your insights into actionable recommendations for investment decisions.

✨Show Your Passion for Equities

Let your enthusiasm for equities shine through during the interview. Share examples of how your passion has driven your work and how it aligns with the goals of the hedge fund. This will help you stand out as a candidate who truly cares about the field.

Equities Data Scientist: ML-Driven Investment Insights
Selby Jennings

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