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Snr Quant Researcher

Millar Associates

United Arab Emirates

On-site

AED 120,000 - 180,000

Full time

15 days ago

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Job summary

An established industry player in the UAE is seeking a Senior Quant Researcher to enhance their systematic investment strategies. This role involves leveraging your expertise in signal construction, machine learning, and financial econometrics to rigorously test investment strategies. You'll be responsible for translating complex research insights into compelling narratives, making them accessible to both technical and non-technical audiences. Join a forward-thinking team that prioritizes innovation and data-driven decision-making to achieve exceptional investment outcomes.

Benefits

Tax-Free Package
Flexible Working Hours
Professional Development Opportunities

Qualifications

  • Expertise in systematic investing and signal construction.
  • Strong background in machine learning and financial econometrics.

Responsibilities

  • Test strategies and hypotheses rigorously.
  • Craft narratives from experiments for diverse stakeholders.

Skills

Systematic Investing
Signal Construction
Machine Learning
Python
Back-Testing
Financial Econometrics

Job description

Snr Quant Researcher, Systematic Investment Strategies & Data (Dir), UAE

Unites Arab Emirates Ref: SQRSI-1110

Package: Superb Tax-Free Package

Client: Large Investment Manager

Focus Areas: Systematic investing, signal construction, alternative data, machine learning / innovation, back-testing, Python

This large Asset Manager, based in the Emirates, has a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. They now seek a Snr Quant Researcher to play a pivotal role in their peer review and testing team. Leveraging your expertise in systematic investing, signal construction, long/short portfolio management, machine learning, financial econometrics, or derivatives pricing, you will rigorously test strategies and hypotheses. You’ll excel in crafting compelling narratives from experiments, conveying the insights derived from your research to both technical and non-technical stakeholders.

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