Job Title

About the Role We are seeking a highly skilled Senior Quantitative Researcher to join our medium frequency trading team. This role involves developing and implementing sophisticated trading strategies that operate on timeframes ranging from minutes to several hours, focusing on exploiting market inefficiencies through rigorous quantitative analysis. Key Responsibilities Strategy Development & Research ·Design, develop, and enhance medium frequency trading strategies across multiple asset classes ·Conduct in depth research on market microstructure, price dynamics, and trading patterns ·Perform statistical analysis to identify alpha-generating opportunities ·Back test and validate trading models using historical data ·Analyze large datasets from multiple market sources ·Build predictive models using machine learning and statistical techniques ·Develop alternative data integration strategies ·Perform feature engineering and signal generation Required Qualifications Education & Experience ·Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or related field ·3+ years of experience in quantitative research within trading, asset management, or financial services ·Proven track record of developing profitable trading strategies Technical Skills ·Expert proficiency in Python, R, or C++ ·Strong knowledge of statistical modeling, time series analysis, and machine learning ·Experience with back testing frameworks and strategy validation Skills We Value ·Strong analytical and problem solving capabilities ·Attention to detail and rigorous approach to research validation ·Ability to work independently and manage multiple projects ·Excellent communication skills for presenting research findings ·Intellectual curiosity and passion for financial markets ·Team collaboration and knowledge sharing Application Process Please submit your application including: ·Current resume/CV highlighting quantitative research experience ·Cover letter describing your interest in medium frequency trading ·Examples of previous research work or trading strategies (where permissible)