Quantitative Developer

Teachmecode; Dubai; On-site; AED 60,000 - 100,000; Full time

Job summary

A prestigious wealth fund in the UAE is on the lookout for a talented Quantitative Developer. In this exciting role, you will design and enhance algorithmic trading strategies using Python, collaborating closely with quants, traders, and data scientists. Your work will involve developing robust solutions for real-time financial data analysis and optimizing performance. This is a unique opportunity to contribute directly to innovative investment strategies in a dynamic environment, where your skills will play a crucial role in driving the firm's success.

Qualifications

• Experience in developing quantitative models using Python.
• Strong background in algorithm optimization and data analysis.

Responsibilities

• Design and implement quantitative models using Python and associated libraries.
• Collaborate with teams to translate investment strategies into production-ready code.

Skills

Python

Algorithm Optimization

Data Analysis

Quantitative Models

Backtesting

Tools

NumPy

pandas

SciPy

Job description

A prestigious UAE wealth fund seeks a talented Quantitative Developer to design and enhance trading strategies using Python, collaborate with teams, and optimize algorithms.

Description

A prestigious UAE wealth fund is seeking a talented Quantitative Developer with expertise in Python . The Quantitative Developer will work closely with a team of quants, traders, and data scientists to design, implement, and enhance algorithmic trading strategies.

The role will involve developing robust Python-based solutions to analyze financial data and optimize performance in real-time, contributing directly to the firm's investment strategies.

Key Responsibilities :

• Develop Quantitative Models : Design and implement quantitative models using Python and associated libraries (e.g., NumPy, pandas, SciPy).
• Collaborate with Teams : Work alongside quants, researchers, and traders to translate investment strategies into efficient, production-ready code.
• Algorithm Optimization : Enhance existing trading algorithms, ensuring they operate efficiently in high-performance environments.
• Data Analysis : Leverage large datasets to identify market trends, correlations, and inefficiencies.
• Backtesting and Validation : Conduct backtests and model validation to ensure strategies meet risk management standards and produce reliable results.
• Performance Optimization : Continuously optimize models and systems to ensure they scale effectively and perform under real-time constraints.

Interested?

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