Quantitative Researcher — End-to-End Tools & AI

PER

United States

Remote

USD 95,301 - 245,061

Full time

14 days+
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Job summary

PER in Abu Dhabi-based Global Investment Fund is seeking a Quantitative Researcher to develop end-to-end quantitative tools and support research. The role emphasizes data analysis, model development, and collaboration with cross-functional teams in a production environment.

The candidate will work on risk models, performance attribution, and AI-driven initiatives, contributing to research reports and model specifications. A strong background in programming and databases is required.

Qualifications

  • Professional experience with object-oriented programming and software development.
  • Experience working with SQL and relational databases.
  • Experience building BI dashboards and reporting frameworks.
  • Experience applying AI and machine learning techniques to datasets is preferred.
  • Bachelor's degree; a Master’s or PhD is a plus.

Responsibilities

  • Developing end-to-end quantitative tools and applications
  • Monitoring the strategy team's data requirements
  • Collaboration with cross-functional stakeholders to integrate applications in production environments
  • Data analysis and research, including conducting hypothesis testing and exploratory data analysis
  • Development and refinement of risk models and performance attribution frameworks
  • Production of research reports, model specifications, and presentation decks
  • Support AI-driven initiatives within the team

Skills

OOP programming
SQL
BI dashboards
AI/ML techniques

Education

Bachelor's degree
Master's or PhD

Tools

Relational databases
BI tools

Job description

PER in Abu Dhabi-based Global Investment Fund is seeking a Quantitative Researcher to develop end-to-end quantitative tools and support research. The role emphasizes data analysis, model development, and collaboration with cross-functional teams in a production environment.

The candidate will work on risk models, performance attribution, and AI-driven initiatives, contributing to research reports and model specifications. A strong background in programming and databases is required.

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