Join a pioneering team at the forefront of quantitative research and systematic trading strategies, where you'll play a crucial role in advancing data-driven decision-making and predictive modeling within the financial markets. Our team is celebrated for its expertise in transforming data into actionable insights that enhance global trading execution and performance. With access to extensive, diversified datasets, we foster a culture of innovation, collaboration, and autonomy, providing you with the tools and support to drive impact across a global platform.
Our success lies in our continuous commitment to research excellence and our dedication to providing a collegial, transparent environment where intellectual curiosity thrives. As part of our organization, you'll have the chance to leverage advanced statistical and machine learning techniques to craft high-quality predictive signals and systematic strategies.
As a Quantitative Researcher, you will be instrumental in the end-to-end strategy research cycle, from identifying statistical patterns to implementing predictive signals on a global scale. You will:
* Identify and analyze statistical patterns across diverse datasets, using your expertise to generate high-quality predictive signals.
* Collaborate with a global team of researchers to share methodologies, data sets, and research outcomes.
* Integrate signals and relevant data into our global trading execution platform to drive impactful trading strategies.
* Monitor and assess signal performance and model behavior over time to ensure sustained success.
This role provides you the autonomy to drive innovation while working within a supportive, collaborative environment with data scientists, technologists, and traders worldwide.
Advanced degree in a quantitative discipline such as Data Science, Statistics, Mathematics, Physics, or Engineering.
Proficiency in at least one programming language (Python, R, Matlab, C++, or C#).
Strong foundation in statistics, machine learning, NLP, or AI techniques.
Experience working with large datasets across varied timeframes is advantageous.
Intellectual curiosity, a keen eye for detail, and an ability to explore complex datasets and uncover new opportunities.
Proven track record in developing successful systematic strategies.
Excellent communication skills to effectively engage with cross-functional teams across the globe.