Quant Trader Equity Statistical Arbitrage

W Executive; Dubai; On-site; USD 80,000 - 120,000; Full time

Job summary

A global trading group is seeking a Quant Trader with expertise in equity statistical arbitrage. The role involves innovative strategy development, risk management, and collaboration with a team of traders and researchers. Ideal candidates will have over 6 years of experience and strong programming skills in Python, R, or C++. This position offers a unique opportunity to leverage cutting-edge technology in a dynamic trading environment.

Qualifications

• 6+ years of experience in quantitative trading focused on equity statistical arbitrage.
• Strong programming skills in Python, R, or C++.
• Experience in alpha generation and execution optimization.

Responsibilities

• Research and develop equity statistical arbitrage strategies.
• Explore and implement alternative approaches to traditional stat arb models.
• Manage risk and capital allocation effectively.

Skills

Programming skills in Python

Programming skills in R

Programming skills in C++

Job description

Quant Trader Equity Statistical Arbitrage

We are hiring a Quant Trader with a strong equity statistical arbitrage background to join a global trading group. The role involves taking a non-traditional approach to equity stat arb strategies, leveraging quantitative research and cutting-edge technology.

Key Responsibilities:

Research and develop equity statistical arbitrage strategies.

Explore and implement alternative approaches to traditional stat arb models.

Manage risk and capital allocation effectively.

Collaborate closely with other traders, researchers, and engineers.

Requirements:

6+ years of experience in quantitative trading with a focus on equity stat arb.

Strong programming skills in Python, R, or C++.

Experience in alpha generation and execution optimization.

Ability to develop and execute trading strategies in a live environment.

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