10 часов назад
Quantitative Trading Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Trading Analyst (Python/AI): Developing scalable analytics libraries and automated workflows that transform trading data into insights for portfolio managers and the Investment Committee, with an accent on PnL attribution, strategy performance analysis, and trading risk monitoring. Focus on researching alpha decay, parameter inefficiencies, execution drag, portfolio exposures, and opportunities across systematic and market-making strategies.
Location: London, United Kingdom
Company
is a proprietary trading firm deploying its own capital across discretionary, systematic, and market-making strategies, with a focus on liquidity in global listed derivatives.
What you will do
- Build scalable Python libraries and tools that standardize performance metrics across the firm.
- Create automated workflows that transform raw trading data into actionable insights for portfolio managers and the Investment Committee.
- Analyze trade- and portfolio-level data to decompose PnL drivers and identify alpha decay, parameter inefficiencies, and execution drag.
- Recommend improvements to existing trading strategies and follow through on implementation.
- Monitor portfolio exposures, performance trends, and market signals to identify risks and mispriced or underutilized opportunities.
- Support portfolio manager onboarding and business development initiatives for new product groups and strategies.
Requirements
- 2–5 years of experience in a hedge fund, proprietary trading firm, or quantitative asset manager.
- Strong Python skills, including Pandas, NumPy, and SciPy, for data analysis and simulation.
- Essential SQL knowledge.
- Understanding of the trade lifecycle and buy-side strategies such as relative value, statistical arbitrage, and volatility.
- Strong numerical, communication, teamwork, problem-solving, and attention-to-detail skills.
- Interest in financial markets, trading strategy improvement, and applying AI with appropriate governance and compliance.
Culture & Benefits
- Technology is central to the firm's success.
- Fast-growing global environment with opportunities to make a significant impact.
- Forward-thinking workplace where AI is integrated into strategy and daily operations.
- Friendly, informal, and rewarding culture.
- Start-up-style upside within an established firm.
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