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- Tasks: Drive data and AI initiatives to enhance investment performance through quantitative models.
- Company: Leading global investment management firm committed to diversity and inclusion.
- Benefits: Professional development opportunities and a collaborative work environment.
- Why this job: Make a real impact in finance using your data science skills.
- Qualifications: PhD in a quantitative field and strong programming skills in Python and SQL.
- Other info: Join a dynamic team focused on innovation and growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading global investment management firm seeks a Data Scientist to drive data and AI initiatives across the investment lifecycle. This role involves designing and implementing quantitative models, collaborating with deal teams, and conducting statistical analyses to enhance investment performance.
Candidates should have a PhD in a quantitative field, strong programming skills in Python and SQL, and a track record of applying data science techniques to commercial problems. The company values diversity and inclusion, offering numerous professional development opportunities.
Private Equity Data Science Engineer (Associate) employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Private Equity Data Science Engineer (Associate)
✨Tip Number 1
Network like a pro! Reach out to professionals in the private equity and data science fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and analyses. This is your chance to demonstrate how you've applied data science techniques to real-world problems, making you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your past projects in detail. Practising common data science interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Private Equity Data Science Engineer (Associate)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science and quantitative modelling. We want to see how your skills in Python and SQL can drive our data and AI initiatives, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about private equity and how your background aligns with our mission. Let us know how you can enhance investment performance with your expertise.
Showcase Your Projects: If you've worked on any projects that involved statistical analyses or data-driven decision-making, make sure to include them. We love seeing real-world applications of your skills, so share those success stories with us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at WeAreTechWomen
✨Know Your Data Science Stuff
Make sure you brush up on your quantitative models and data science techniques. Be ready to discuss how you've applied these in real-world scenarios, especially in investment contexts. The more specific examples you can provide, the better!
✨Show Off Your Programming Skills
Since strong programming skills in Python and SQL are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Collaborate Like a Pro
This role involves working closely with deal teams, so highlight your teamwork experience. Think of examples where you successfully collaborated on projects, especially those that required cross-functional communication and problem-solving.
✨Embrace Diversity and Inclusion
The company values diversity, so be prepared to discuss how you can contribute to an inclusive workplace. Share any experiences you have that demonstrate your commitment to fostering diverse perspectives and how it can enhance team performance.
