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ML Quantitative Researcher
Job Description & How to Apply Below
This team in the UAE has been founded by Quant industry veterans who understand the requirements to build a Quant business from scratch have the most resources anywhere pretty much (near infinite compute and data budgets with almost instant approvals). + a complete Data overhaul that will mean that data is not just abundant but clean and easy to access.
They are seeking exceptional QRs that can transform complex financial and alt data, and use AI/ML, to generate alpha across a variety of strategies/asset classes. This is led by an incredibly strong team of collaborative PMs that give the best environment to learn anywhere in the world, with additional flexibility on projects and scope to bring new ideas to the table.
WhatYou’ll Do
- Leverage cutting-edge machine learning techniques to uncover hidden patterns in financial data and generate novel alpha strategies
- Apply machine learning algorithms to diverse, large-scale datasets from diverse source (financial and alt, huge data function delivering this).
- Create and test complex investment ideas in collaboration with their engineering team
- Participate in reading circles to stay current with the latest research. Share insights from conferences on stats/ML/Data Science.
- Degree in a technical or quantitative discipline (statistics, mathematics, physics, electrical engineering, or computer science)
- All education levels welcome, from bachelor’s to doctorate
- Intermediate programming skills in C, C++, Java, Python, or similar languages
- Deep understanding of machine learning algorithms with the ability to modify and optimize them
- Hands‑on experience applying machine learning to real‑world datasets
- Experience developing and implementing sophisticated quantitative models to exploit market inefficiencies
- Published research in academic journals or conference presentations (preferred)
- Ranked top 5 safest cities in the world
- Top international schools; school fees are covered by this client for employee’s family
- Year round sunshine; you can work from your home country in July/August
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