Quantitative Developer - Event | Dubai- Global Quant Fund | Dubai, UAE

Oxford Knight; Dubai; On-site; AED 80,000 - 120,000; Full time

Job summary

A leading global quantitative investment manager is seeking a Quant Developer to join their trading desk in Dubai. The role involves building tools and infrastructure to support investment decisions, with opportunities to solve complex technical challenges. Candidates should have strong Python and SQL skills, and a willingness to take ownership of projects. This position offers a dynamic environment and the chance to work closely with trading experts.

Qualifications

• 0-2+ years of experience in a quantitative trading environment is desirable.
• Good understanding of underlying system workings—CPU, memory, OS, network.

Responsibilities

• Build analysis tools and infrastructure for trading desk.
• Work closely with Quant Researchers and Traders.
• Develop analytics infrastructure using event-driven data.

Skills

Python

SQL

Communication

Tools

numpy

pandas

polars

dask

Job description

My client is a global quantitative and systematic investment manager, operating across all liquid asset classes worldwide. They are a technology and data-driven group that applies a scientific approach to investing. By combining data, research, technology, and trading expertise, they foster a collaborative mindset that enables them to solve complex challenges. Their culture of innovation continuously drives their ambition to deliver high-quality returns for investors.

The Role:

• You will work within a trading desk, building analysis tools and infrastructure used by the desk to support investment decisions, directly impacting the desk's success.
• You will be a key member of a Quant Dev team, working closely with Quant Researchers and Quant Traders.
• The role involves touching many aspects of Event Driven trading, utilizing index data, M&A data, risk models, and other event-driven data from various sources. You will handle data management across numerous sources and dimensions, and develop analytics infrastructure.
• You will have opportunities to solve challenging technical problems critical to the desk's performance.

Requirements:

• Excellent knowledge and experience with the latest Python libraries: numpy, pandas, polars, dask, etc.
• Strong SQL and relational database skills.
• A good understanding of underlying system workings—CPU, memory, OS, network, etc.
• Ability and willingness to take full ownership of projects, from conception to delivery.
• Good communication skills in a dynamic environment.
• 0-2+ years of experience in a quantitative trading environment is desirable.
• Knowledge of financial markets trading is a plus.

They welcome applications from candidates willing to relocate.

While all applications will be carefully reviewed, due to high volume, it may not be possible to respond to unsuccessful applicants.

Contact:

If this sounds like you or you'd like to learn more, please get in touch:

Ryan Quinn

[e-mail]

linkedin.com/in/ryan-quinn-6782211a8/

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