drjobs Quantitative ESG Analyst

Quantitative ESG Analyst

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1 Vacancy
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Job Location drjobs

Boston, TX - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Acadian Asset Management LLC is a Bostonheadquartered investment management firm with wholly owned affiliates located in Singapore London and Sydney. As of December 31 2024 the firm managed approximately US$117 billion on behalf of major pension funds endowments foundations governments and other investors based in the U.S. and abroad.

Position Overview:

The successful candidate will work on some of the most challenging data science problems in Responsible Investing. In this role you will help design custom solutions to meet clients sustainability needs and develop an understanding of emerging ESG trends and global regulations/standards. You will work closely with crossfunctional teams including the portfolio construction group investment analytics and the global client group communicate effectively with stakeholders and present insights. As a key member of our dynamic team you will also help nurture a culture of continuous learning and innovation ensuring that we remain at the forefront of Responsible Investing. The ideal candidate is ambitious determined and selfmotivated and able to navigate a fastpaced environment.

Acadian supports a hybrid work environment. Employees are onsite in the Boston office 3 days a week.

What Youll Do:

  • Support the Director of Responsible Investing and members of the Responsible Investing team in aspects of research oversight and preparation of external communications presentations and materials.
  • Write clear concise answers to clients and prospects questions based on knowledge of Acadians processes and pertinent new research.
  • Explore structured and unstructured datasets with a focus on data preparation transformation outlier detection and feature engineering.
  • Collaborate on the design of ESG constraints for clientdriven investment solutions help build predictive models and design interactive data applications.

Were Looking for Teammates With:

  • Bachelors degree in Quantitative Finance Computer Science Mathematics Statistics or a related STEM field with 2 years of experience on the buyside or sellside.
  • Strong communication skills with the ability to translate complex analytical insights for both technical and nontechnical audiences.
  • Wellorganized and detailoriented with a methodical approach to work strong multitasking skills and the ability to collaborate across regional offices and time zones.
  • Proficient in financial analysis modelling and statistics with experience extracting insights from heterogeneous multidimensional datasets. Ability to apply machine learning techniques (e.g. scikitlearn PyTorch TensorFlow) and present complex data visually using Matplotlib seaborn or Streamlit.
  • Fluent in Python with experience working with data processing libraries such as Pandas.
  • Strong SQL skills a good understanding of Linux parallel computing tools and experience with Git Jira and Confluence.
  • A demonstrated interest in sustainability systematic investing and a willingness to undertake selfstudy towards the CFA Sustainable Investing Certificate.

Why Work Here:

Acadian is a quantitative investment firm where ideas are empowered by technology. Our team is made up of a diverse mix of professionals who thrive in a culture that fosters ingenuity through collaboration and transparency. We offer a casual office environment topnotch benefits and excellent professional and personal development opportunities.

To apply for this position or view Acadians open roles please visit the Careers section of our website at: We will contact only selected candidates. If you are a candidate with a disability or are assisting a candidate with a disability and require an accommodation to apply for one of our jobs please email us at

Acadian Asset Management LLC is committed to providing equal employment opportunity to all employees and applicants. No employee or applicant shall be discriminated against on the basis of gender race creed color sex age national origin marital status pregnancy or parenthood veteran status citizenship status disability gender identity or sexual orientation.


Required Experience:

IC

Employment Type

Full Time

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