Quantitative Researcher: AI, Risk Models & Data Tools

PER

Abu Dhabi

On-site

AED 350,000 - 700,000

Full time

14 days+

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Job summary

PER, a global investment fund based in Abu Dhabi, is expanding its Quantitative Research team. The role focuses on building end-to-end quantitative tools, analyzing data, and delivering research outputs that drive investment decisions.

The successful candidate will work with cross-functional teams to productionize models, assess risk, and support AI-driven initiatives. A strong background in programming, SQL, and BI reporting is required, with advanced degrees considered a plus.

Qualifications

  • Professional experience with object-oriented programming and software development.
  • Experience working with SQL and relational databases.
  • Experience across 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

  • Develop end-to-end quantitative tools and applications.
  • Monitor the strategy team's data requirements.
  • Collaborate with cross-functional stakeholders to integrate applications in production environments.
  • Conduct data analysis and research including hypothesis testing and exploratory data analysis.
  • Develop and refine risk models and performance attribution frameworks.
  • Produce research reports, model specifications, and presentation decks.
  • Support AI-driven initiatives within the team.

Skills

Object-oriented programming
SQL
BI dashboards
AI/ML techniques

Education

Bachelor's degree
Master's degree
PhD

Job description

PER, a global investment fund based in Abu Dhabi, is expanding its Quantitative Research team. The role focuses on building end-to-end quantitative tools, analyzing data, and delivering research outputs that drive investment decisions.

The successful candidate will work with cross-functional teams to productionize models, assess risk, and support AI-driven initiatives. A strong background in programming, SQL, and BI reporting is required, with advanced degrees considered a plus.

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