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Python Developer/ Coder High Frequency Trader

2-4 Years
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  • Posted 13 days ago
  • Be among the first 10 applicants
Early Applicant

Job Description

Our client is a quantitative trading firm which focuses on highfrequency trading across multiple asset classes is seeking an Operations Associate who possesses strong Python skills.

Please contact Chezereen Williams by emailing your cv directly in word format with job reference no JOB- 15775 to [Confidential Information]

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days we regret to inform you that your application for this position was unsuccessful.

EA License Number: 16S8131

Recruiter License Number: R24121355

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Key responsibilities

  • Serve as the first point of contact for brokers, exchanges, and live trading issues, managing alerts, rejects, outages, and end-of-day processes while executing risk-reducing trades when needed.
  • Build and improve real-time trade monitoring systems and automate critical processes like position reconciliation and locates borrowing to enhance efficiency.
  • Analyze trading algorithms and leverage systematic trading expertise to optimize execution strategies and improve operational workflows.
  • Collaborate with traders, developers, and risk managers to resolve trade discrepancies, ensure smooth settlement, and communicate incidents and process improvements clearly.

Role requirements

  • Bachelor's degree from a STEM discipline or similar or Computer Science, Electrical Engineering, Mathematics, Finance, Business Analytics, or related fields.
  • 2+ years of experience in trade operations, trade support, data engineering, or trading development is a plus.
  • Strong Python programming skills, data analytics expertise, and solid understanding of financial markets, instruments, and algorithmic trading.
  • Calm under pressure with quick decision-making abilities, excellent communication, and strong collaboration skills.

More Info

Job ID: 134175747