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Selby Jennings
Senior Quant Analytics Engineer
3 months ago | 115 views | 1 applications

Senior Quant Analytics Engineer

Full-time
Amsterdam

About the company

Selby Jennings are proud to be a leading specialist recruiter in financial sciences & services. Founded in 2004, we help solve the number one challenge: talent. Today, we provide permanent, contract and multi-hire recruitment solutions across specialist sectors including risk management, private wealth management, legal and compliance, investment management, quantitative analytics, financial technology, investment banking, insurance and actuarial, and sales and trading.

Job Summary

Requirements:

šŸ“Over 5 years of experience in high-frequency trading (HFT) firms. šŸ“Deep expertise in applying machine learning (ML) models to HFT strategies. šŸ“Practical experience with ML pipelines operating across multiple exchanges, both independently and collectively. šŸ“Demonstrated success in developing sophisticated statistical arbitrage strategies that capitalize on price discrepancies between multiple instruments. šŸ“Eagerness to expand knowledge in high-frequency trading and implement it across numerous exchanges. šŸ“Competence in overseeing the entire pipeline: from data sampling and feature creation to strategy deployment in production. šŸ“Proficiency in at least one programming language, with a preference for Python - C++ is very advantageous. šŸ“Confident, resilient, highly motivated, and proactive demeanor. šŸ“Ability to work effectively with colleagues from diverse backgrounds and a strong willingness to learn.

Bonus:

šŸ“Experience in mentoring, managing people, and leading interns or a team of researchers.

Key Responsibilities:

šŸ“Develop and implement statistical arbitrage strategies using ML techniques. šŸ“Investigate new trading ideas by analyzing market data. šŸ“Design features and models to predict the behavior of hundreds to thousands of securities within a 10-second to 10-minute timeframe, across various underlying assets. šŸ“Collaborate with ML pipelines to support the strategy development process. šŸ“Continuously optimize and improve existing models. šŸ“Communicate efficiently with internal teams. šŸ“Mentor and potentially lead team members.

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