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- Tasks: Enhance investment processes using advanced analytics and quantitative methods.
- Company: Leading global investment firm with a focus on innovation.
- Benefits: Competitive benefits and dynamic work environment.
- Why this job: Make a significant impact in Private Equity Data Science.
- Qualifications: PhD in a quantitative field and strong programming skills required.
- Other info: Collaborate with Deal Teams for real business value.
The predicted salary is between 36000 - 60000 £ per year.
A leading global investment firm is seeking a Data Scientist to enhance the Private Equity Data Science team. The ideal candidate will leverage their expertise in quantitative methods and data-driven models to optimize investment processes.
Responsibilities include partnering with Deal Teams and implementing advanced analytics to drive significant business value.
A PhD in a quantitative field and strong programming skills (Python, SQL) are essential. This role offers competitive benefits and the opportunity to work in a dynamic environment.
Quantitative Engineering Associate - PE Data Science employer: Goldman Sachs Bank AG
Contact Detail:
Goldman Sachs Bank AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Engineering Associate - PE Data Science
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment 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 methods and data-driven models. This is your chance to demonstrate how you can optimise investment processes and add value to the team.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've used them in past projects. We want to see your problem-solving abilities in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Engineering Associate - PE Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative skills and programming expertise. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science in private equity and how you can add value to our team. Keep it concise but impactful!
Showcase Your Technical Skills: Since strong programming skills in Python and SQL are essential, make sure to mention any relevant projects or experiences where you’ve used these languages. We love seeing practical applications of your skills!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Goldman Sachs Bank AG
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative methods and data-driven models. Be ready to discuss how you've applied these in past projects, especially in investment processes. We recommend preparing specific examples that showcase your expertise.
✨Show Off Your Programming Skills
Since strong programming skills in Python and SQL are essential, be prepared to demonstrate your coding abilities. We suggest practising common data manipulation tasks and being ready to explain your thought process during the interview.
✨Understand the Business Value
It's crucial to connect your technical skills to business outcomes. Think about how your work can drive significant value for the firm. We advise preparing a few insights on how advanced analytics can optimise investment strategies.
✨Engage with the Deal Teams
This role involves partnering with Deal Teams, so show your enthusiasm for collaboration. We recommend preparing questions about their current projects and how you can contribute. This will demonstrate your interest in teamwork and understanding of the firm's operations.
