2 дня назад
Quantitative Trading Analyst (Machine Learning)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Trading Analyst (Machine Learning) (Quantitative Trading): Developing and evaluating trading strategies through trade-data analysis, post-trade analysis, and analytical tools with an accent on machine learning, signal processing, optimization, and statistics. Focus on investigating strategies for new products, analyzing large data sets, communicating market and system behavior, and applying risk-aware judgment in time-sensitive situations.
Location: London, United Kingdom
Company
is a diversified trading firm using proprietary capital, technology, and quantitative expertise across global financial markets and alternative strategies.
What you will do
- Investigate applying existing trading strategies to new products and asset classes.
- Quantitatively analyze trade data and perform post-trade analysis of strategies.
- Assist in developing analytical tools for trading and investment analysis.
- Communicate relevant news, market events, and system behavior clearly to team members.
- Challenge existing methodologies and trading strategies to advance the team’s approach.
- Collaborate with traders, software engineers, and quantitative researchers while gaining hands-on exposure to multiple asset classes.
Requirements
- 1–3 years of quantitative research experience focused on machine learning, signal processing, optimization, or statistics.
- Bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science, or a related field.
- Advanced quantitative, analytical, and problem-solving skills, including the ability to apply them in time-sensitive situations.
- Strong knowledge of probability and statistics, with an interest in analyzing large data sets.
- Programming familiarity in Python, C++, C, or similar languages.
- Ability to communicate perspectives on trading strategies and risk concisely and work effectively in a team.
Culture & Benefits
- Autonomy and responsibility in a fast-paced, competitive trading environment.
- Respect, curiosity, open-mindedness, integrity, and innovation are valued.
- Individual discovery and collaboration are encouraged.
- Opportunity to gain hands-on trading experience across multiple asset classes.
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