At a Glance
- Tasks: Engage with companies and leverage AI for impactful ESG research.
- Company: Acadian Asset Management, a leader in responsible investing.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to responsible investment strategies.
- Why this job: Make a difference in sustainable investing while using cutting-edge AI tools.
- Qualifications: Strong analytical skills and a passion for ESG principles.
The predicted salary is between 63000 - 77000 £ per year.
Acadian Asset Management in London is seeking an ESG Quant Analyst - Stewardship Specialist to join the Responsible Investing team in London.
The role blends direct company engagements with scalable research tools and datasets, applying AI techniques in a quantitative setting.
The successful candidate will drive ESG research and partnerships with portfolio managers and researchers in a hybrid work environment.
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ESG Quant Analyst: Stewardship & AI Research employer: Acadian Asset Management
Acadian Asset Management is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a strong emphasis on employee growth, we provide ample opportunities for professional development and skill enhancement, particularly in quantitative investing. Our hybrid work environment ensures a balanced approach to teamwork and client engagement, making it a rewarding place for experienced professionals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land ESG Quant Analyst: Stewardship & AI Research
✨Get Involved in Data Science Meetups
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We think you need these skills to ace ESG Quant Analyst: Stewardship & AI Research
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Acadian Asset Management
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
