Quantitative Researcher

At Cedalion Capital, quantitative research is at the core of how we approach financial markets.We are building a systematic investment platform that combines machine learning, statistics, optimization and large-scale data processing to identify patterns in financial markets and turn them into robust investment strategies.As a Quantitative Researcher, you will play a key role in developing and enhancing our quantitative research platform and the models that drive our investment decisions. You will work closely with software engineers and fellow researchers to translate research into robust, production-ready systems that power our investment process.ResponsibilitiesAnalyze large and complex datasets to identify predictive signals.Design, develop and evaluate machine learning and statistical models.Research and implement new quantitative investment strategies.Design and run large-scale backtests and experiments.Stay up to date with the latest developments in machine learning, statistics and quantitative research.RequirementsStrong background in machine learning, statistics, stochastic processes and optimization.Excellent programming skills, preferably in Python.Experience working with large datasets and developing predictive models.Strong analytical and problem-solving skills.Research-oriented mindset with intellectual curiosity and attention to detail.Ability to clearly communicate technical concepts and research findings.Comfortable working in a fast-moving, entrepreneurial environment.Experience in finance is not required.