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About the job Are you a seasoned quant researcher with a passion for high-frequency global Equities...

منذ 10 أشهر عمل كلي oman 200
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المكان

oman

نوع العمل

عمل كلي

الخبرة

5-8 سنوات

الراتب

not specific

الملخص الوظيفي

About the job

Are you a seasoned quant researcher with a passion for high-frequency global Equities trading? Are you ready to take your career to the next level with a leading European trading house? Look no further – we have the perfect opportunity for you!


Position: High-Frequency Equities & ETFs Researcher

Location: Remote, Europe


About the Company:

Our client is a leading trading house with a history of excellence in the financial markets. With an unparalleled track record and a commitment to innovation, they've established themselves as a high-performing HFT & MFT Equities & Futures European prop trading firm with a stellar track record. This is your chance to join a team of exceptional traders and take your career to new heights.


Role Overview:

As a High-Frequency Equities Quant Researcher, you will play a crucial role in alpha generation and executing high-frequency trading strategies across various equity markets worldwide. Leveraging your expertise, you will collaborate with a team of talented traders to drive profitable outcomes and maintain the company's competitive edge.


Responsibilities:

  • Develop, refine, and implement high-frequency trading strategies in global equity markets.
  • Execute trades in a fast-paced environment, making real-time decisions to capitalize on market opportunities.
  • Collaborate with quantitative researchers, technologists, and risk management teams to optimize trading strategies.
  • Monitor market trends, economic indicators, and news to adapt strategies accordingly.
  • Contribute to the continuous improvement of trading algorithms and systems.


Requirements:

  • Extensive experience in high-frequency quant research of global equity markets.
  • Proven track record of generating consistent profits and managing risk effectively.
  • Strong quantitative and analytical skills, with the ability to work in a fast-paced, dynamic environment.
  • Proficiency in programming languages such as Python, C++, or Java.
  • Excellent communication skills and a collaborative mindset.
  • Bachelor's degree in Finance, Economics, Mathematics, Computer Science, or a related field (advanced degrees a plus)

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