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Quantitative Analyst, Vice President

at Durlston Partners

Back to all Data Science / AI / ML jobs
Durlston Partners logo
Recruitment Agencies

Quantitative Analyst, Vice President

at Durlston Partners

ExperiencedNo visa sponsorshipdata-science-ai-ml

Posted 7 hours ago

0 clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

A leading investment firm seeks a Quantitative Analyst with over seven years of experience to develop and maintain quantitative models supporting investment decisions. The role involves collaborating with portfolio managers and applying advanced statistical and AI/ML techniques to financial data.

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.

Quantitative Analyst, Vice President

at Durlston Partners

Back to all Data Science / AI / ML jobs
Durlston Partners logo
Recruitment Agencies

Quantitative Analyst, Vice President

at Durlston Partners

ExperiencedNo visa sponsorshipdata-science-ai-ml

Posted 7 hours ago

0 clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

A leading investment firm seeks a Quantitative Analyst with over seven years of experience to develop and maintain quantitative models supporting investment decisions. The role involves collaborating with portfolio managers and applying advanced statistical and AI/ML techniques to financial data.

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.