2 дня назад
Quantitative Trading Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Trading Analyst (Trading and Quantitative Analysis): Developing trading and investment strategies, analyzing trade data, and creating analytical tools with an accent on risk management, probability, statistics, and multi-asset market analysis. Focus on investigating strategy applications for new products, performing post-trade analysis, and challenging existing trading methodologies in time-sensitive situations.
Location: London
Company
is a diversified trading firm combining proprietary capital, sophisticated technology, and quantitative expertise across global financial markets and alternative investment strategies.
What you will do
- Investigate applying existing trading strategies to new products and asset classes.
- Perform quantitative analysis of trade data and 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 team decision-making.
- Collaborate with traders, software engineers, and quantitative researchers while gaining hands-on trading experience.
Requirements
- Bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science, or a related field, with graduation between December 2026 and June 2027.
- Advanced quantitative, analytical, and problem-solving skills applicable in time-sensitive situations.
- Strong curiosity about analyzing large datasets using probability and statistics.
- Familiarity with Python, C++, C, or similar programming languages.
- Ability to communicate perspectives on trading strategies and risk concisely and work effectively in a team.
- Adaptability, self-motivation, comfort with significant responsibility, and the ability to thrive in a fast-paced, competitive environment.
Culture & Benefits
- Exposure to multiple asset classes, including fixed income, ETFs, equities, FX, commodities, and energy.
- Autonomy, individual discovery, and collaboration are encouraged.
- Work alongside experienced traders, software engineers, and quantitative researchers.
- Culture centered on respect, curiosity, integrity, innovation, high expectations, and challenging consensus.
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