6 дней назад
Trader
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Trader (Automated Trading/Quantitative Research): Operating and improving latency-sensitive automated trading systems across multiple asset classes with an accent on quantitative research, risk management, and system performance. Focus on back-testing strategies, dynamically adjusting parameters, developing monitoring tools, and analyzing executions, logs, and market data.
Location: Singapore
Company
is a diversified proprietary trading firm using technology and quantitative expertise to trade multiple asset classes and strategies across global markets.
What you will do
- Operate automated, latency-sensitive trading systems across multiple asset classes.
- Conduct quantitative research, back-test hypotheses, and refine trading strategies.
- Adjust system parameters based on market conditions and manually trade when needed to reduce risk exposure.
- Identify automation opportunities and develop internal monitoring tools, utilities, and workflow improvements.
- Communicate market news, events, and system behavior to traders, engineers, and quantitative researchers.
- Analyze system logs, executions, and market data to evaluate trading system performance.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Computational Finance, or another equivalent STEM field.
- Ability to understand and reason about complex distributed trading systems.
- Strong analytical and quantitative mindset with meticulous attention to detail, sound judgment, and accuracy.
- Proficiency in programming languages such as Python or C++.
- Excellent verbal and written communication skills and the ability to collaborate across research and engineering teams.
- Ability to work proactively and effectively in fast-paced, time-sensitive, and high-pressure situations.
Nice to have
- Prior trader or trading analyst experience.
Culture & Benefits
- Work in an autonomous, collaborative, and results-oriented environment.
- Collaborate with experienced traders, software engineers, and quantitative researchers.
- Take ownership of projects and identify opportunities for measurable impact.
- Operate within a culture focused on integrity, innovation, curiosity, and challenging consensus.
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