VP ESG Quantitative Strategist
We are partnered with a premier Investment bank that is building out an ESG Quant team in NY. They are looking for someone at the VP level, with prior experience in a front office role, that can provide responsible analytical insights and data strategy for both public and private asset classes. This person would partner closely with banking, technology, and risk to ensure they are developing solutions that drive efficiency and sustainability. The ideal candidate would be able to jump into this role where they can leverage direct experience working on ESG initiatives on a global scale. Given the scope of the position, this is an excellent role for someone that is looking to grow into a leadership position.
Responsibilities:
- Develop scalable solutions that integrate ESG data into proprietary score frameworks
- Conduct statistical analysis on large datasets and interpret results across various teams
- Perform advanced market risk stress testing, scenario design, implementation, and results analysis to identify key drivers.
- Leverage ML/AI techniques to help improve efficiency
- Collaborate with global teams and stakeholders across both public and private asset classes
Requirements:
- 5+ years of experience in quantitative research in financial markets
- Master's or PhD in a quantitative discipline (i.e., Financial Engineering, Statistics, Mathematics, Data Science).
- Expertise using data science, statistical modeling, and data visualization to synthesize insights from large datasets.
- Strong problem-solving abilities with a creative approach to business needs and evolving regulatory requirements.
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