
Quantitative Analyst, Vice President
at Durlston Partners
Posted 20 hours ago
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- Compensation
- Not specified
- City
- Not specified
- Country
- United States
Currency: Not specified
A leading investment firm is seeking an experienced Quantitative Analyst (VP) to develop and maintain quantitative models that inform investment decision-making. The role involves close collaboration with fundamental portfolio managers to integrate quantitative insights into equities and factor investing strategies. You will analyze financial and market data using statistical, econometric and AI/ML methods, build scalable tools in R or Python, and ensure transparent communication of model assumptions and outputs.
A leading investment firm is seeking an experienced Quantitative Analyst to strengthen its investment strategies. With over a decade of incorporating quantitative strategies into their investment process, the firm is looking for someone with more than seven years of experience in quantitative research and financial modelling. In this role, you will collaborate closely with fundamental portfolio managers to develop and refine models that provide data-driven investment insights.
Key Responsibilities
- Develop and maintain quantitative models to support investment decision-making.
- Work closely with fundamental portfolio managers to integrate quantitative insights into investment strategies.
- Analyse financial and market data using statistical, econometric, and AI/ML methodologies to identify trends and opportunities.
- Identify, evaluate, and integrate internal and external data sources.
- Develop scalable tools and processes using R or Python.
- Communicate findings clearly, ensuring transparency in model development, assumptions, and outputs.
Ideal Profile
- 7+ years of experience in quantitative analysis and financial modelling, with expertise in equities and factor investing.
- Master’s degree in Mathematics, Statistics, Computer Science, AI, or a related quantitative or engineering field.
- Proficiency in R/Python for data analysis and model development.
- Strong data science skills, including data cleaning, predictive modelling, and feature engineering.
- Ability to adapt to emerging technologies and integrate AI/ML techniques, including large language models (LLMs).
- Excellent communication and collaboration skills to bridge quantitative research with fundamental investment decision-making.
Please be aware that this role is not eligible for US work permit sponsorship.






