Quantitative Developer

Quant DeveloperAs a Quant Developer, you’ll collaborate closely with Quant Researchers to implement trading strategies, build research frameworks, develop portfolio construction tools, and create risk analysis systems. The role involves using Python and other technologies (e.G., NumPy, SciPy, Pandas) to solve complex problems in financial markets, working in a fast-paced, collaborative environment.AHL's technology stack includes Linux, MongoDB, Java, Kafka, and various DevOps tools like Airflow and Docker. The company promotes an open, agile culture with regular team events, a focus on professional growth, and a commitment to work-life balance.Key Requirements:Expertise in Python and data analysis (e.G., NumPy, Pandas)Strong understanding of financial markets and instrumentsExperience with Linux and scripting languagesFamiliarity with agile development practicesStrong mathematical background (e.G., statistics, asset pricing, optimization)Desirable:Experience in quantitative finance, machine learning, or web-based developmentPersonal Attributes:Strong problem-solving, communication, and collaboration skillsPassion for technology and software engineering excellenceAbility to manage multiple projects and deadlines effectively