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Head of Quantitative Research
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Dubai, United Arab Emirates High Street Resources (HSR) Full timeRole Overview This is a senior leadership role responsible for defining research strategy, building and mentoring quant teams, and delivering a consistent pipeline of deployable alpha. The role is both strategic and hands‑on, with deep involvement in research, validation, and production workflows. Key Responsibilities Define and execute the firm's...
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Dubai, United Arab Emirates High Street Resources (HSR) Full timeRole Overview This is a senior leadership role responsible for defining research strategy, building and mentoring quant teams, and delivering a consistent pipeline of deployable alpha. The role is both strategic and hands‑on , with deep involvement in research, validation, and production workflows. Key Responsibilities Define and execute the firm's...
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About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic computer-driven trading strategies across multiple liquid asset classes including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies fueled by our unparalleled access to a wide range of publicly available data sources. Role Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive modeling. You will collaborate with other researchers to work on the monetization of quantitative trading strategies, exploring state-of-the-art portfolio construction techniques. Successful hires will ultimately become thought leaders within our collaborative research group. Responsibilities Conduct original research in quantitative portfolio management. Manage all aspects of the research process including idea generation, data analysis, hypothesis testing, and implementation. Follow, digest, and analyze the latest academic research. Build analytical tools to supplement our shared research framework. Requirements 2 years of professional work experience or PhD in a quantitative discipline: econometrics, mathematics, statistics, physics, or computer science. Programming in Python (or comparable language) and working knowledge of SQL. Fluency in data science practices e.g. feature engineering. Experience with machine learning is a plus. Highly motivated, curious, and a critical thinker. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Prior experience in the financial services industry is not required. Commitment to the highest ethical standards. #J-18808-Ljbffr
