Quantitative Data Engineer
il y a 1 semaine
Join to apply for the Quantitative Data Engineer role at Capital Fund Management (CFM)At Capital Fund Management (CFM), we lead the way in alternative investment management, mastering quantitative trading techniques to navigate global capital markets. Our innovative approach is built on 30 years of experience, utilizing rigorous statistical analysis of extensive financial data to drive our asset allocation, trading decisions, and automated order execution.Become part of a team where cutting-edge technology meets pioneering research, fostering exciting opportunities and dynamic trading strategies. With assets under management totaling $20 billion, we are duly regulated by the AMF, SEC, and CFTC, ensuring trust and transparency.CFM is a haven for intellectual curiosity, valuing diversity, collaboration, and the pursuit of impactful innovation. We are proud to be recognized as a Great Place to Work, offering an environment where PhDs, IT engineers, and experts in research and technology thrive.Our collaborative culture encourages exploration and challenges the norm, bringing transformative ideas to life to benefit our clients.If you are passionate about groundbreaking techno and eager to make a meaningful impact, CFM is the place for you. Join us and be part of a company that merges scientific rigor with financial insight.The positionAs a quant data engineer, you will contribute to the success of our strategies by integrating new datasets, developing predictive features and automating their extraction. This includes:Hand in hand feature development with quantitative researchersIndustrialization of features extraction pipelines (deployment, data cleaning, monitoring)Assisting with research, development, and operations related to machine learning modelsDomain ownership of several datasetsYour profileExperience in programming languages (Python, C++), data manipulation libraries (pandas, spark, polars) and Linux environments (shell, git, slurm)Hands-on understanding of machine learning processesPrevious experience working with tick-by-tick data is a plusTeam player, able to communicate with quant teamsStrong coding skills with an interest for technologyExcellent analytical skills, ability to solve complex problemsCapacity to work in a fast-paced, high-stakes environment, with a commitment to professional development and continuous learning5+ years of experienceEducation: MS degree in Computer Science, Mathematics or related Computer Engineering or Science curriculumEQUAL OPPORTUNITIES STATEMENTWe are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.CFM is a signatory of the Women Empowerment PrinciplesFOLLOW USFollow us on Twitter and LinkedIn or visit our website to find out more about CFM.Seniority levelMid-Senior levelEmployment typeFull-time #J-18808-Ljbffr
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