ML Quantitative Researcher
ML Quantitative Researcher in UAE with large data budgets; strong ML/data skills required.
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. What You’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. What We’re Looking For 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) Why move to the UAE? 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 Huge tax benefits
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- 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 sources (financial and alt data)
- Create and test complex investment ideas in collaboration with engineering
- Participate in reading circles to stay current with the latest research and 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)
| Location | Active listings |
|---|---|
| Remote - Global | 21 |
| Remote - Europe | 7 |
| Remote - United States | 2 |
| Remote - United Kingdom | 2 |
| Geneva, Switzerland | 1 |
| Abu Dhabi, United Arab Emirates | 1 |
| Paris, France | 1 |
| Hong Kong | 1 |
| Remote - Portugal | 1 |
| Portugal | 1 |
| Remote - France | 1 |
| Singapore, Singapore | 1 |
| Cayman Islands | 1 |
| Zug, Switzerland | 1 |
| Remote - Middle East | 1 |
| Netherlands | 1 |
| Berlin, Germany | 1 |
| Munich, Germany | 1 |
| Remote - Netherlands | 1 |
| Remote - United Arab Emirates | 1 |
| Remote - Singapore | 1 |
| Amsterdam, Netherlands | 1 |
| Zurich, Switzerland | 1 |
| Remote - Cayman Islands | 1 |
| Dublin, Ireland | 1 |
| United Kingdom | 1 |
| New York, United States | 1 |
| Remote - Germany | 1 |
| Florida, United States | 1 |
| Switzerland | 1 |
| Remote - Hong Kong | 1 |
| Chicago, United States | 1 |
| Dallas, United States | 1 |
| Remote - Ireland | 1 |
| Bristol, United Kingdom | 1 |
| Remote - Switzerland | 1 |
| London, United Kingdom | 1 |
| Glasgow, United Kingdom | 1 |
| California, United States | 1 |
| Dubai, United Arab Emirates | 1 |
| Role type | Active listings |
|---|---|
| Software Engineer | 4 |
| C++ Software Engineer | 2 |
| FPGA Engineer | 2 |
| Research Scientist | 1 |
| AI/Deep Learning Quantitative Researcher | 1 |
| Python Developer | 1 |
| Portfolio Manager | 1 |
| Options Strategist | 1 |
| Research Scientist, Quantitative Trading | 1 |
| C++ Team Lead | 1 |
| Machine Learning Researcher | 1 |
| Chief Legal Officer | 1 |
| Quantitative Trader | 1 |
| Emerging Markets Rates & FX Portfolio Manager | 1 |
| Systems Engineer | 1 |
| Data Engineer | 1 |
| Quantitative Researcher | 1 |
| Options Trader | 1 |
| Front End Engineer | 1 |
| Financial Analyst | 1 |
| Financial Trader | 1 |
| Cloud Infrastructure Engineer | 1 |
| Head of AI | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 17 |
| Senior | 7 |
| Director | 1 |
| Executive | 1 |
| Manager | 1 |
| Expert | 1 |
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