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:
šOver 5 years of experience in high-frequency trading (HFT) firms. šDeep expertise in applying machine learning (ML) models to HFT strategies. šPractical experience with ML pipelines operating across multiple exchanges, both independently and collectively. šDemonstrated success in developing sophisticated statistical arbitrage strategies that capitalize on price discrepancies between multiple instruments. šEagerness to expand knowledge in high-frequency trading and implement it across numerous exchanges. šCompetence in overseeing the entire pipeline: from data sampling and feature creation to strategy deployment in production. šProficiency in at least one programming language, with a preference for Python - C++ is very advantageous. šConfident, resilient, highly motivated, and proactive demeanor. šAbility to work effectively with colleagues from diverse backgrounds and a strong willingness to learn.
Bonus:
šExperience in mentoring, managing people, and leading interns or a team of researchers.
Key Responsibilities:
šDevelop and implement statistical arbitrage strategies using ML techniques. šInvestigate new trading ideas by analyzing market data. šDesign 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. šCollaborate with ML pipelines to support the strategy development process. šContinuously optimize and improve existing models. šCommunicate efficiently with internal teams. šMentor and potentially lead team members.