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Quantitative Researcher - Equity Stat Arb

Selby Jennings
1 year ago
Applications closed

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Quantitative Researcher (Machine Learning)

Quantitative Researcher (Machine Learning)

Quantitative Researcher (Machine Learning) - eFinancialCareers

Machine Learning Quant Researcher

Machine Learning Engineer

Data Engineer | Global Investment & Trading Environment | LONDON | High Compensation

The client, a leading mid-high frequency hedge fund, are looking for Systematic researchers with equity stat arb experience.

Responsibilities:

Develop and enhance statistical arbitrage trading strategies in equity markets. Analyse large datasets to identify and exploit market inefficiencies. Backtest and implement trading strategies using Python, R, or MATLAB. Monitor and evaluate strategy performance; refine models based on results. Work with portfolio manager directly.

Requirements:

Advanced degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Physics). Strong programming skills in Python, R, MATLAB, or similar. Experience with statistical analysis, machine learning, and data manipulation. Knowledge of financial markets and trading concepts. Excellent problem-solving skills and attention to detail. Ability to work in a collaborative, fast-paced environment.

What They Offer:

Competitive salary and performance-based bonuses. Comprehensive benefits package including health insurance, retirement plans, and paid time off. Professional development opportunities and support for continuing education. Access to state-of-the-art technology and resources. Collaborative and inclusive work environment. Opportunities to work on cutting-edge research and innovative projects.

If interested, please apply directly or reach out to me, on harry.moore(at)selbyjennings.com

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