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Optiver

Options Trader

Taipei, Taiwan

Location
Taipei, Taiwan
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Finance
Pay
Not stated
Posted
6 months ago

About the role

At Optiver, we continuously refine how we price, execute, and manage risk. The discipline and rigour we apply to these problems form a key part of our competitive edge. As we expand and strengthen our presence in Asian markets, we are looking for an experienced Options Trader to join our Taiwan-focused trading team.

You will play a key role in trading Taiwan index and equity options (e.g. TXO), working in a highly collaborative environment with access to best-in-class systems, deep liquidity, and a progressive risk appetite. Alongside trading, you will contribute to improving our strategies, execution quality, and system robustness in a fast-paced, automated trading environment.

What you’ll do

  • Actively trade Taiwan index and equity options, managing positions and risk in real time
  • Analyse market flows, volatility dynamics, and microstructure to identify and capture trading opportunities
  • Continuously refine pricing, execution, and risk management approaches to improve trading performance
  • Conduct post-trade analysis to evaluate decisions, optimise strategies, and drive systematic improvements
  • Contribute to the development of tools, monitoring, and processes that enhance trading stability and scalability
  • Maintain clear and timely communication with internal stakeholders including but not limited to researcher, risks and developers during live trading and high-pressure situations

Who you are

  • Proven experience as an Equity or Index Options Trader, with exposure to Taiwan markets (e.g. TXO) or similar equity derivatives
  • Strong track record of trading performance and disciplined risk management
  • Deep understanding of options theory, volatility, and market microstructure
  • Comfortable trading both systematically and with discretion when required
  • Decisive under pressure, with the ability to quickly diagnose and act on trading problems
  • Highly analytical, detail-oriented, and proactive in identifying improvements
  • Strong communicator who thrives in a collaborative, team-based environment
  • Passionate about markets, with a continuous drive to learn and improve

Desirable

  • Experience working with or alongside automated/high-frequency trading systems
  • Familiarity with exchange rules, market structure, and participant behaviour in Taiwan markets
  • Coding skills (Python, R, or similar) and ability to analyse large datasets
  • Exposure to multiple asset classes beyond equities

What you'll get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.

In return for your expertise, you will have access to a range of Optiver perks, including:

  • A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment.
  • The chance to work alongside diverse and intelligent peers in a rewarding environment.
  • Training, mentorship and personal development opportunities.
  • Daily breakfast, lunch and snacks.
  • Gym subsidy and weekly in-house chair massages.
  • Regular social events, including a company trip every two years.

Diversity statement

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

Questions? Get in touch with the recruitment team at careers@optiver.com.au

Source

Posted by Optiver on their own hiring page, www.optiver.com. OptiTalent shows it as published, read 07 Nov 2026 01:10 UTC; the original is the reference.

View the original ad ↗

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