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Quantitative Research at DeepFin Research. DeepFin Research is seeking a talented and motivated Quantitative Researcher to join our dynamic team. In this role, you will be instrumental in developing and implementing advanced quantitative models that drive our investment strategies. As a part of our team, you will work alongside experienced professionals in a fast-paced environment, enhancing your skills in statistical analysis, financial markets, and algorithmic trading. The ideal candidate will possess a strong quantitative background, coupled with a deep understanding of financial instruments and markets. You will be responsible for performing rigorous data analysis, utilizing statistical techniques to validate investment hypotheses, and optimizing trading strategies based on empirical research. At DeepFin Research, we pride ourselves on fostering an innovative culture, where your creative problem-solving skills can shine. If you are passionate about finance and enjoy working with complex datasets to uncover actionable insights, this opportunity could be perfect for you. We foster an environment of continuous improvement, encouraging our researchers to discuss new ideas and collaborate on projects that challenge the status quo. Join us in our mission to provide superior research and data-driven insights to our clients.. Responsibilities. . Develop and implement quantitative models and algorithms for trading strategies.. . Conduct thorough statistical analysis and research on financial data for various asset classes.. . Evaluate and optimize existing trading strategies based on empirical data.. . Collaborate with the data engineering team to improve data quality and accessibility.. . Present research findings and strategic recommendations to stakeholders effectively.. . Stay current with industry trends, quantitative methods, and advances in financial technology.. . Contribute to the creation of automated tools and dashboards for monitoring performance metrics.. . . Master's or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Finance, or a related discipline.. . Strong programming skills in languages such as Python, R, or MATLAB.. . Experience with statistical analysis and modeling techniques in finance or related areas.. . Familiarity with machine learning methods and their application in financial contexts.. . Proficiency in data manipulation and analysis using libraries such as pandas and NumPy.. . Solid understanding of financial markets, instruments, and trading mechanisms.. . Excellent communication skills, both verbal and written, to articulate complex ideas clearly.. . Company Location: United Kingdom.