MENA Equities Quantitative Researcher

About Winton Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors. We employ ambitious professionals who want to work collaboratively at the leading edge of investment management. We are seeking a highly motivated quantitative researcher to join our Investment Management & Research group, focussing on MENA Equities. You will play a key role in researching, developing and operating our equities strategies in the region, partnering with portfolio managers, researchers, and technology to build and optimise the full strategy lifecycle – from research and back testing to live trading and risk management. You will spend an initial period of approximately 6 months working in our London office before relocating to our office in Abu Dhabi. Your responsibilities will include: Conduct in-depth research to identify alpha-generating strategies in MENA equity markets Research and back test systematic trading signals Collaborate closely with portfolio managers, researchers and technologists to develop trading infrastructure and strategies Monitor, analyse and report on strategy performance What we are looking for: 3+ years of experience working in a systematic equity trading environment Proficiency in data analysis and programming, preferably using Python and key libraries such as Pandas and NumPy Exceptional understanding of signal research and portfolio construction Strong communication skills with the ability to work in a distributed and collaborative research environment. Equal Opportunity Workplace We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.