US ESG Strategist/Quant Analyst

Bloomberg is looking for a passionate and motivated ESG Strategist/Quant Analyst to join our dynamic team in the US. The successful candidate will have the opportunity to utilize their quantitative and analytical skills to drive our ESG research and strategy, while also having the opportunity to shape the future of the ESG industry.The ideal candidate will have a strong quantitative background and experience in data analysis, financial markets, and ESG research. They will possess excellent written and verbal communication skills, and have the ability to explain complex ESG concepts in a clear and concise manner. The successful candidate will also have a keen interest in the role of ESG in the financial markets and have the ability to work independently and collaboratively within a team environment.

Responsibilities:

1. Utilize quantitative and analytical skills to drive ESG research and strategy.
2. Explain complex ESG concepts in a clear and concise manner.
3. Analyze data and research the financial markets to identify ESG trends.
4. Develop innovative solutions to address ESG challenges.
5. Maintain a keen interest in the role of ESG in the financial markets.
6. Collaborate with colleagues and other stakeholders to advance ESG initiatives.
7. Work independently and as part of a team to ensure successful project completion.
8. Prepare and present presentations to internal and external stakeholders.
9. Monitor industry developments and ensure compliance with applicable regulations.
10. Develop and maintain relationships with industry experts, regulators, and other stakeholders.

According to JobzMall, the average salary range for a US ESG Strategist/Quant Analyst in Princeton, NJ, USA is $80,000 to $150,000 per year. This range may vary depending on experience, qualifications, and other factors.

Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day.