Quantitative Researcher - Equities

IMC

IMC is one of the world’s leading trading firms, combining quantitative research, technology and trading expertise to solve complex problems at scale. As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing in frontier research that can shape the next generation of models, infrastructure and research capabilities. With access to world-class datasets, significant compute resources and a highly collaborative environment, IMC offers a unique opportunity to see cutting-edge research translated into real-world impact. We are seeking a Principal Research Scientist to help define and accelerate our long-term machine learning research agenda. Prior finance experience is not required. THE ROLE This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine learning while applying their expertise in a highly impactful environment. You will work alongside quantitative researchers, engineers and research leadership to identify emerging research directions, evaluate new developments in machine learning, and help translate promising academic advances into practical applications. Rather than owning individual trading strategies, you will act as a scientific leader, mentor and advisor across the research organisation. You will also represent IMC externally through participation in leading conferences and engagement with the broader machine learning community. RESPONSIBILITIES * Shape the long-term machine learning research agenda within Systematic Equities. * Identify and translate advances from frontier ML research into practical opportunities. * Conduct original research and develop proof-of-concept solutions where appropriate. * Advise and mentor quantitative researchers on methodology, experimentation and research direction. * Help guide future investments in research tooling, infrastructure and compute capabilities. * Represent IMC within the global machine learning community through conferences such as NeurIPS, ICML and ICLR. * Contribute to publication efforts where appropriate and consistent with intellectual property considerations. SKILLS & EXPERIENCE * PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. * Outstanding academic credentials and a strong publication record in leading research venues. * Current or recent experience in a faculty-equivalent academic or research leadership role such as Assistant Professor, Associate Professor, Professor, Group Leader, Principal Investigator, Senior Postdoctoral Researcher, or Senior Research Scientist. * Deep expertise in modern machine learning and strong awareness of emerging research trends. * Experience influencing research direction, mentoring researchers, or leading research initiatives. * Strong programming skills and experience with modern machine learning frameworks. * Excellent communication skills and the ability to collaborate across disciplines. WHAT WE OFFER * The opportunity to influence the future of machine learning at one of the world’s leading trading firms. * Access to exceptional datasets, infrastructure and large-scale compute resources. * Continued engagement with the academic community through conferences, collaborations and publication opportunities. * A collaborative environment where research can move rapidly from idea to impact. * Competitive compensation that reflects both scientific excellence and commercial impact. About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

IMC

IMC is looking for experienced quant researchers to develop high frequency delta one trading strategies and predictive models for the APAC markets. If you’re excited about helping to push the boundaries of what we can do with Machine Learning in trading, unlocking the significant edges we have in execution, and collaborating to become the best trading firm worldwide, this may be the role for you. You will be responsible for performing large scale data analysis to derive statistically profitable predictions of market behavior. These predictions are used to inform all of our trading, and improvements have a high and visible impact across the office. You will also help to shape the direction we take across research and tooling. We have longstanding and significant edges across market access, global reach, Options understanding and low latency. The rapid growth we’ve already seen in Machine Learning has unlocked these edges, and some of the most interesting and impactful problems are now being tackled. You will work as part of an established and growing research team, collaborating closely with traders, software and hardware developers to find improvements to our models and see them impact our production results. IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks and offices. Your Core Responsibilities:  * Combine creativity and experience to rapidly generate high quality, testable ideas * Use a rigorous and structured process to ensure your results are reliable and well tested * Refine and leverage a strong grasp of market dynamics and microstructure, to create powerful features * Have a solid understanding of statistics, a variety of machine learning approaches, and the risks of overfitting Your Skills and Experience:  * 3+ years experience as a Quantitative Researcher or Trader, with specific experience in high frequency Equities or Futures, and a proven track record * Graduate & Postgraduate study from a top university, majoring in machine learning, statistics, or STEM subjects * Strong programming skills in at least one language (python preferred) * Significant practical experience with at least one mainstream ML approach About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.   About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

Winton

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.