Durlston Partners

Est. expiry Nov 2

Last seen Oct 12

Posted Sep 28 · 14 days ago

ML Quantitative Researcher

Quantitative Researcher
Abu Dhabi, United Arab Emirates
OnsiteFull-time, Mid-Level
At a glance

ML Quantitative Researcher in UAE with large data budgets; strong ML/data skills required.

Original job description

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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Skills & Technologies
CC++JavaJavaPython
Education Level
Bachelor
Responsibilities
  • 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
Requirements
  • 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)
Durlston Partners logo
Durlston Partners · 14 open roles
Top locations (all time): Remote - Global · 21 · Remote - Europe · 7 · Remote - United States · 2 · +37 other locations
View company
Current open roles at Durlston Partners on JobCrawls
LocationActive listings
Remote - Global21
Remote - Europe7
Remote - United States2
Remote - United Kingdom2
Geneva, Switzerland1
Abu Dhabi, United Arab Emirates1
Paris, France1
Hong Kong1
Remote - Portugal1
Portugal1
Remote - France1
Singapore, Singapore1
Cayman Islands1
Zug, Switzerland1
Remote - Middle East1
Netherlands1
Berlin, Germany1
Munich, Germany1
Remote - Netherlands1
Remote - United Arab Emirates1
Remote - Singapore1
Amsterdam, Netherlands1
Zurich, Switzerland1
Remote - Cayman Islands1
Dublin, Ireland1
United Kingdom1
New York, United States1
Remote - Germany1
Florida, United States1
Switzerland1
Remote - Hong Kong1
Chicago, United States1
Dallas, United States1
Remote - Ireland1
Bristol, United Kingdom1
Remote - Switzerland1
London, United Kingdom1
Glasgow, United Kingdom1
California, United States1
Dubai, United Arab Emirates1
Current role mix at Durlston Partners on JobCrawls
Role typeActive listings
Software Engineer4
C++ Software Engineer2
FPGA Engineer2
Research Scientist1
AI/Deep Learning Quantitative Researcher1
Python Developer1
Portfolio Manager1
Options Strategist1
Research Scientist, Quantitative Trading1
C++ Team Lead1
Machine Learning Researcher1
Chief Legal Officer1
Quantitative Trader1
Emerging Markets Rates & FX Portfolio Manager1
Systems Engineer1
Data Engineer1
Quantitative Researcher1
Options Trader1
Front End Engineer1
Financial Analyst1
Financial Trader1
Cloud Infrastructure Engineer1
Head of AI1
Current role-level mix at Durlston Partners on JobCrawls
Role levelActive listings
Mid-Level17
Senior7
Director1
Executive1
Manager1
Expert1

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