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Trader

JR United Kingdom

Luton

Remote

GBP 70,000 - 120,000

Full time

7 days ago
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Job summary

A well-established Family Office is seeking an experienced Trader to join their team fully remote from Europe. This role requires a deep understanding of US Equity Options and involves executing trades based on market opportunities, refining trading strategies, and collaborating with the team. The ideal candidate will possess strong analytical skills, a solid work ethic, and proficiency in Python.

Qualifications

  • Demonstrable trading experience with US Equity Options.
  • Deep understanding of options pricing and risk management.
  • Proficiency with Python in a Linux environment.

Responsibilities

  • Execute and manage US Equity Options Trades based on market opportunities.
  • Research and refine trading strategies to optimise returns.
  • Monitor market conditions and macro factors to inform decision making.

Skills

Analytical Skills
Independent Work Ethic
Options Pricing
Risk Management
Python

Education

Bachelor’s Degree in Mathematics
Bachelor’s Degree in Statistics
Bachelor’s Degree in Computer Science

Job description

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Our client is a well-established Family Office mainly focused on US Equity Options. They are currently seeking an experienced Trader to join their team. The successful candidate will be based in Europe and work fully remote on US Hours.

Key Responsibilities

  • Execute and manage US Equity Options Trades based on market opportunities
  • Research and refine trading strategies to optimise returns.
  • Monitor market conditions and macro factors to help inform decision making.
  • Collaborate within the team on various projects within the family office.

Requirements

  • Recent and demonstrable trading experience with US Equity Options, ideally with a Hedge Fund, Proprietary Trading Firm or Investment Bank.
  • Deep understanding of options pricing and risk management.
  • Strong analytical skills and independent work ethic.
  • Strong proficiency with Python in a Linux environment.
  • Bachelor’s Degree or higher in mathematics, statistics, computer science, or similar quantitative discipline.

Competitive base salary, bonus system includes % PNL split.

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